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We search for key phrases in the content of every data file in our repository rather than just the metadata index.<br /><br />We have a Push API; which allows any repository to push data to the Data Monitor corpus and therefore appear in Data Monitor search results. For the Data Monitor API refer to the <a href="https://datasearch.elsevier.com/api/docs">documentation</a> and select <strong>Push API</strong> in the dropdown. We provide a preview of the data file contents in line (highlighting the search term), without needing to download the file, so that you can quickly evaluate which files are going to be useful for you.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="2-indexing-repositories_text" id="2-indexing-repositories" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Which data repositories are indexed in Data Monitor?</button><div id="2-indexing-repositories_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>We index thousands of data repositories either directly or via DataCite. Our complete list of indexed repositories can be provided upon request, or accessed via our API at <a href="https://datasearch.elsevier.com/api/docs">https://datasearch.elsevier.com/api/docs</a>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="3-access-data-monitor_text" id="3-access-data-monitor" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I access Data Monitor?</button><div id="3-access-data-monitor_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>In order to access Data Monitor you must have access via your institution. This can be either by:<ul><li>Logging in via institutional authentication (e.g. Shibboleth). This is the preferred method of access, to ensure reliable access to institutional features.</li><li>Accessing from your institution's IP range</li><li>Logging in with an institutional email address</li></ul>For more information on adding institutional credentials to an existing account, changing the email associated to your account, or to change your password visit <a href="https://service.elsevier.com/app/home/supporthub/elsevieraccess/">Elsevier Access</a>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="4-attribution-datasets_text" id="4-attribution-datasets" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How are datasets attributed to my Institution?</button><div id="4-attribution-datasets_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Besides datasets that already have affiliation IDs, we identify related publications via <a href="http://scholix.org/">Scholix.org</a>, and then the authors and their Institutional affiliations via Scopus for all remaining datasets in our corpus. To learn more about which repositories we index refer to <a href="https://data.mendeley.com/data-monitor-2-indexing-repositories"><em>Which data repositories are indexed in Data Monitor?</em></a>. To learn about how we use Institutional IDs for matching visit <a href="https://data.mendeley.com/faq#data-monitor-5-matching-IDs"><em>Which Institutional IDs do you use for matching, and how can I check or change them?</em></a>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="5-matching-IDs_text" id="5-matching-IDs" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Which Institutional IDs do you use for matching, and how can I check or change them?</button><div id="5-matching-IDs_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>We use a combination of the SciVal Institutional ID, Scopus Affiliation IDs and Mendeley Institutional IDs. The list of IDs has been shared and confirmed with your institutional representative, so please reach out to them or your customer consultant for more information. For more details on attribution of a dataset institution refer to <a href="https://data.mendeley.com/faq#data-monitor-4-attribution-datasets"><em>How are datasets attributed to my Institution?</em></a>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="6-incorrect-attribution_text" id="6-incorrect-attribution" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>I found a dataset that is incorrectly attributed to my institution, can this dataset be removed from Data Monitor and the showcase page?</button><div id="6-incorrect-attribution_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>You can correct the wrong institutional affiliation of the datasets using the “Exclude” option in Data Monitor. Please select dataset(s) wrongly attributed to your institution and then click “Exclude” link in the top menu. For a detailed description read the help article <a href="https://data.mendeley.com/faq#data-monitor-15-how-to-monitor"><em>How do I Monitor my institution's Data?</em></a>. Please note that it will take ~24 hours for exclusions to be processed. You can view all your requests for exclusion. To switch the view, please use the dropdown menu in the top left corner and then select <strong>Pending exclusions</strong>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="7-data-monitor-content-update_text" id="7-data-monitor-content-update" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How often is Data Monitor content updated?</button><div id="7-data-monitor-content-update_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Most content on Data Monitor is updated daily, including updates of the repositories that we index directly, and repositories indexed via DataCite. Most enrichments are updated daily. Some others that use static data such as <a href="http://scholix.org/">Scholix</a> are updated every six months.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="8-metadata-field-error_text" id="8-metadata-field-error" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>I've found an error in a dataset metadata field, how can I correct it?</button><div id="8-metadata-field-error_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>We do our best to represent the original datasets in Data Monitor. In cases where you find a potential error in one of the metadata fields, we advise that you first check the original dataset and if corrections are needed submit your request to the repository where the dataset is hosted. If the original dataset is correct, please notify us via your customer consultant and we'll correct the error if we can.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="9-citations-data-monitor_text" id="9-citations-data-monitor" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do you measure data citation count for a dataset?</button><div id="9-citations-data-monitor_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>We display the number of citations following DataCite recommendations on <a href="https://blog.datacite.org/data-citation-display/">Data Citation Display</a>. This ensures consistency in displaying data citations for datasets across the repositories we index.<br /><br />Learn more about which repositories we index by referring to <a href="https://data.mendeley.com/faq#data-monitor-2-indexing-repositories"><em>Which data repositories are indexed in Data Monitor?</em></a></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="10-pure-integration_text" id="10-pure-integration" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What is the difference between the Data Monitor - Pure integration using the API key, or without the API key?</button><div id="10-pure-integration_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>The integration without the API key gives you access to the source records (i.e. source metadata). The integration with the API key gives you access to the source records, the clean up of duplicates and metadata enrichments. Crucially, the metadata enrichment includes institutional and author affiliation, which makes it possible to match many more datasets to your institution.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="11-API-key_text" id="11-API-key" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How can I obtain the institutional API key to be able to access the enriched Data Monitor content?</button><div id="11-API-key_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>The institutional API key has been shared with your institutional representative. For more information please reach out to them.<h3 class="mdui-h5">Will the datasets coming through the Data Monitor integration be ingested directly in my Pure instance?</h3>The Data Monitor settings page in Pure gives you the possibility to set criteria for auto-import. Those datasets matching the criteria for auto-import will be automatically ingested. Otherwise, they will be presented as import candidates.<h3 class="mdui-h5">What is the query logic implemented, when I enter both an institution name and an institution ID in the Data Monitor settings page in Pure?</h3>For Pure 5.17.2 (or above) the query logic is: [institution name] OR [institution ID]; For Pure 5.16.3 - 5.17.1 the query logic is: [institution name] AND [institution ID];<h3 class="mdui-h5">If I have no datasets in my Pure instance, which datasets will be provided through the Data Monitor integration?</h3>The Data Monitor integration will present datasets that match the criteria you entered in the settings page, e.g. matching your institution name or ID.<h3 class="mdui-h5">What happens if I already have some datasets in my Pure instance, will the Data Monitor integration present the same datasets as candidates again?</h3>No, datasets that are already imported (or that were rejected) will not be presented as candidates again.<h3 class="mdui-h5">If I don't have Pure, can I still integrate with Data Monitor?</h3>Yes. You can use either the Data Monitor API or export records in a CSV format to integrate with your CRIS or any other institutional system. Please note: to be able to use the enriched Data Monitor content you'll have to apply your institutional API key.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="12-advanced-search_text" id="12-advanced-search" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What are the syntax criteria for an advanced search (Field codes and Boolean)?</button><div id="12-advanced-search_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>When doing an advanced search in Digital Commons Data use the following information regarding syntax for different ways to search for data. Data Monitor is a corpus that is currently served through Digital Commons Data.<h3 class="mdui-h5">Searching within fields</h3>Use the following syntax to target one or more specific fields within a dataset by entering the desired field code and then placing the name in parenthesis following it. Note that the <em>syntax field codes must be capitalized</em> as below. For example, when searching by Author, type “<b>AUTHOR(Jane Smith)</b>”.<ul><li>AUTHOR()</li><li>AUTHOR_ID()</li><li>GRANT()</li><li>GRANT_ID()</li><li>FUNDER()</li><li>FUNDER_ID()</li><li>INSTITUTION()</li><li>INSTITUTION_ID()</li><li>TITLE()</li><li>ID()</li><li>DOI()</li><li>SOURCE()</li><li>IS_SUPPLEMENT_TO()</li><li>DATA_TYPE()</li><li>RELATION_TYPE()</li><li>PUBLICATION_YEAR()</li><li>IMPORTED_DATE_GT()</li><li>IMPORTED_DATE_GREATER_THAN()</li><li>UPDATED_DATE_GT()</li><li>UPDATED_DATE_GREATER_THAN()</li></ul><i><b>Note:</b></i> Regarding the following field codes:<ul><li>AUTHOR_ID() supports the following IDs: Mendeley User ID, Scopus User ID, ORCID and all user IDs supported by DataCite.</li><li>INSTITUTION_ID() supports the following IDs: Scopus Institution ID, Scival Institution ID, Mendeley Institution ID.</li><li>DATA_TYPE values must match (case sensitive) exactly one of the following:<ul><li>AUDIO</li><li>CHEMICAL_STRUCTURES</li><li>COLLECTION</li><li>DATASET</li><li>DOCUMENT</li><li>EVENT</li><li>FILE_SET</li><li>GEO_DATA</li><li>IMAGE</li><li>INTERACTIVE_RESOURCE</li><li>MODEL</li><li>OTHER</li><li>PHYSICAL_OBJECT</li><li>SEQUENCING_DATA</li><li>SLIDES</li><li>SOFTWARE_CODE</li><li>TABULAR_DATA</li><li>TEXT</li><li>VIDEO</li><li>WORKFLOW</li><li>SOURCE() values must be an exact match (case sensitive). A list of Source IDs indexed by Data Monitor can be found <a target="_blank" href="https://docs.datasearch.elsevier.com/swagger-ui/index.html#/sources/getSources">here</a>.</li></ul></li></ul><h3 class="mdui-h5">Boolean Search Terms</h3>Additionally, DataSearch supports Boolean search terms. You may search for data on Data Monitor using AND, OR or NOT query terms. Field codes can also be used in any boolean query, which includes OR between normal and field code queries. Currently Data Monitor can process queries like these:<ul><li>chip-seq drosophila AUTHOR(Doe)</li><li>chip-seq drosophila AUTHOR(Doe OR Hari)</li><li>chip-seq drosophila AUTHOR(Hari) AND INSTITUTION(University of Manchester)</li><li>chip-seq AND (drosophila OR “fruit fly”) AND ID(GEO4667)</li><li>(chip-seq drosophila AND AUTHOR(Doe)) OR AUTHOR(Doe AND Hari)</li><li>IS_SUPPLEMENT_TO(10.1016/j.dib.2015.10.003)</li><li>SOURCE(MENDELEY_DATA)</li><li>DATA_TYPE(IMAGE AND DATASET)</li><li>PUBLICATION_YEAR(2019 OR 2020 OR 2021)</li></ul>When no operator is included this is assumed to be an implicit OR'. If you want to perform an exact match of the text being provided by a Field Code, you can use Field Code modifiers. We offer two ways to do it:<ul><li>FIELD CODE(“abcdfg”)</li><li>FIELD CODE({abcdfg})</li></ul>Operators (AND, OR and NOT) are not recognized inside a Field Code modifier. As such, queries using FIELD CODE(“xxxx OR yyyy”) will probably not retrieve the results one would expect. There are three ways to use operators inside a field code:<ul><li>Using a Field Code (without any modifiers): AUTHOR(John OR Martha)</li><li>Splitting the operands into separate Field Codes with modifiers: AUTHOR({John}) OR AUTHOR({Martha})</li><li>Using double quotes in a field code modifier. This is accepted in order to provide backwards compatibility to very common queries that might have been used extensively: INSTITUTION(“University of Manchester” OR “University of Oxford”)</li></ul><It class="faq-note"><b><i>Note:</i></b> INSTITUTION({University of Manchester} OR {University of Oxford}) is not accepted! Use INSTITUTION({University of Manchester}) OR INSTITUTION({University of Oxford}) instead.<br/><br/>It should be noted that using the “xxxx” construct (i.e. using double quotes to specify an exact text match in a search) is also allowed outside a Field Code. The behavior for such a query is expected. All words inside the double quotes are searched as they appear.<br/><br/>Alternatively, the {xxxx} construct ((i.e. using curly braces to specify an exact text match in a search) is only accepted as a Field Code modifier and is not accepted in a free text search (as curly braces are not accepted characters for free text search).</br><br/>To conclude, here are some simple examples:<ul><li>AUTHOR(“John Doe”) - will search for authors whose names have exactly the words John followed by Doe in any part of their names.</li><li>DOI({123456:1132/121(56)789}) - will search for the document that has a 123456:1132/121(56)789 DOI identifier.</li><li>ID(“1234.1224”) - will search for the document that has a 1234.1224 external identifier.</li><li>AUTHOR({John Doe OR Martha Hari}) - will search for authors whose names are John Doe OR Martha Hari in any part of their names (probably not finding anything).</li><li>AUTHOR({John Doe}) OR AUTHOR(“Martha Hari”) - will search for authors whose names have either the sequence John Doe or Martha Hari in any part of their names.</li><li>DATA_TYPE(*) AND PUBLICATION_YEAR(2008)</li></ul></li></ul></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="13-search-free-monitor_text" id="13-search-free-monitor" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I search for data, including advanced search options?</button><div id="13-search-free-monitor_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To begin, go to <a href="http://data.mendeley.com/">Mendeley Data</a> and click <strong>Sign In</strong> in the top right section of the page. Upon logging in, the Mendeley Data homepage appears. Click <strong>Find Research Data</strong>. The Search page displays.<br /><br /><b><i>Note:</i></b> While it is possible to perform a search without doing so, logging into Mendeley Data provides more metadata content. Data Monitor is a corpus that is currently served through Mendeley Data.<br /><br />Enter keywords into the <strong>Search</strong> field, then click the <strong>Search icon</strong> (magnifying glass) or click <strong>Enter</strong>. To filter results, tick the desired checkboxes in the left column. You can filter by <em>Data Type</em>, <em>Source Type</em>, and <em>Source</em>. The number displayed behind each filter type indicates the number of results for that type.<br /><br /><b><i>Note:</i></b> While you are able to make multiple selections from the <em>Data Type</em> option, you may only make one selection from the <em>Source Type</em> and <em>Source</em> options.<br /><br />Search results appear in the right panel, and each results line item displays basic information such as Contributors, Date, Source, and more.<br /><br />To view more detailed information, click the title of one of the results line items to expand it, where you will see in the left column under <em>Details</em>, one or more files associated with it.<br /><br />Enabled by deep indexing, clicking on a file allows you to quickly preview its contents without having to open it. Also, you can verify that keywords in your original search terms are present inside a file, as indicated if a green check mark is next to it.<br /><br /><b><i>Note:</i></b> It is not possible to preview the content of a zip file.<br /><br />After previewing the results, if you decide this is what you are looking for, to access the full information to to download, cite or share a dataset click <strong>More Details/Go to source</strong>.<h3 class="mdui-h5">Advanced Search</h3>You can perform an advanced search query by using syntax for different ways to search for data such as searching within fields and using Boolean search terms. For more information about syntax for an advanced search, simply click <strong>Advanced search help</strong> beneath the search field and then click <strong><a href="https://data.mendeley.com/faq#data-monitor-12-advanced-search">What are the syntax criteria for an advanced search (Field codes and Boolean)?</a></strong> This will reference the FAQ associated with this topic that will help you complete the advanced search.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="14-admin-data-monitor_text" id="14-admin-data-monitor" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I perform Administrative functions in Data Monitor?</button><div id="14-admin-data-monitor_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To begin, go to <a href="http://data.mendeley.com/">Mendeley Data</a> and click <strong>Sign In</strong> in the top right section of the page. Upon logging in as an administrator, the <em>My Data</em> page appears. Click the <strong>Admin</strong> tab. The admin page opens on a <em>Users</em> tab.<h3 class="mdui-h5">How do I manage my institution’s users as an administrator?</h3>From the <em>Users</em> tab you can see a list of users. Also, you will see two sub-tabs – <em>Admin</em> and <em>Data Monitor</em>. These sub-tabs distinguish the different roles that users have within the system. A user’s name may appear on more than one of these sub-lists, indicating that they have multiple roles and privileges assigned to them.<br /><br />To add a user, click the <em>appropriate sub-tab</em> (Admin or Data Monitor) and then click <strong>+ Add</strong>. A dialogue box opens, prompting you to add a User email and then click <strong>Add</strong>.<br /><br />To remove a user, click <strong>Remove</strong> next to their name. A dialogue box opens, asking you to confirm the deletion. Click Remove to confirm.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="15-how-to-monitor_text" id="15-how-to-monitor" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I Monitor my institution's Data?</button><div id="15-how-to-monitor_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Upon signing into <a href="http://data.mendeley.com/">data.mendeley.com</a>, the <em>My Data</em> page opens by default. For librarians who wish to monitor their institution’s datasets, click the Data Monitor tab at the top of the page. A list of datasets displays.<h3 class="mdui-h5">Is it possible to search with a DOI and find relevant data?</h3>Users can search for a specific dataset by typing the precise DOI in the search box above the dataset list and by clicking the magnifying glass icon.<h3 class="mdui-h5">How do I filter what datasets appear?</h3>To filter the list of results, use the filters in the left panel. You can <em>filter by</em> Publication Date, Added Date, Repositories or Data Types. You also can filter using a specific date range in by clicking the <em> calendar icons</em> to enter From and Until dates. Or, you may choose to select one of the <em>radio buttons</em> to filter by Anytime, Last 3 months, or Last 12 months.<br /><br />To filter by Repository or Data Type enter search words in each of the filter’s respective text fields or select one or more checkboxes from each of the filter’s respective lists. You are also able to make multiple selections for each.<br /><br />At the top of the left panel is the <em>Institutional datasets</em> drop-down menu. This allows you to make a selection to filter by the following:<ul><li>All datasets (default setting) – this list shows all of your institution’s datasets.</li><li>Automatically excluded datasets – this list shows…</li><li>Manually excluded datasets –Once completely processed, this list shows all datasets that have been manually excluded using the Exclude feature in Data Monitor.</li><li>Pending additions – this list shows all datasets that were added using the Add feature in Data Monitor and are being processed.</li><li>Pending exclusions - this list shows all datasets that were excluded using the Exclude feature in Data Monitor and are being processed.</li></ul><h3 class="mdui-h5">What other actions can I take with Data Monitor?</h3>Once you have entered filters to generate the datasets you want to monitor, you can click the dataset title to view metadata including the description, the repository where it is located, contributors, the date it was published, the Dataset DOI/PID, and the types of data contained within it. To view the actual dataset, click the <strong>View dataset</strong> button or, if applicable, click the <strong>View article</strong> button to view the article.<h3 class="mdui-h6">How do I add datasets to my institution?</h4>If you find it necessary to add datasets to your institution, from the menu at the top of the right panel, click Add. The Add datasets dialogue box opens, prompting you to add a dataset by copying the DOI or persistent identifier into the field, or by searching the Data Monitor corpus. Refer to <a href="https://data.mendeley.com/faq#data-monitor-2-indexing-repositories"><em>Which data repositories are indexed in Data Monitor?</em></a> to learn more about our dataset corpus.<br /><br />Once a list of search results appears, click the <strong>+ Add dataset</strong> button for the dataset(s) you wish to add. If you need to do an advanced search, please refer to help article <a href="https://data.mendeley.com/faq#data-monitor-13-search-free-monitor"><em>How do I search for data, including advanced search options?</em></a> and go to the section labeled <em>Advanced Search</em>. When you are finished adding the datasets you want, click the <strong>‘x’</strong> at the top right of the box to close it. The newly added dataset will appear on the list of <em>Pending additions</em>, found in the <em>Institutional datasets</em> drop-down menu and will show up in your institution’s dataset list as well as the showcase page in approximately twenty-four (24) hours.<br /><br /><b><i>Note:</i></b> Only librarians with access to Data Monitor can add datasets, and only to their own institution.<h3 class="mdui-h6">How do I exclude datasets from my institution?</h4>If necessary to exclude datasets from your institution you must first select what you want to exclude. From the list of results on the right panel, check one or more checkboxes next to the desired dataset. From the menu at the top of the right panel, click <strong>Exclude</strong>. The <em>Exclude</em> datasets dialogue box opens, prompting you to confirm that you want to exclude the dataset(s). Click the <em>Exclude</em> button to confirm. The excluded dataset will appear on the list of <em>Pending exclusions</em>, found in the <em>Institutional datasets</em> drop-down menu and will be removed from your institution’s dataset list as well as the showcase page in approximately twenty-four (24) hours. Once the exclusion is completely processed, it will appear on the list of <em>Manually excluded datasets</em>, found in the <em>Institutional datasets</em> drop-down menu.<br /><br /><b><i>Note:</i></b> We do our best to represent the original datasets in the Data Monitor corpus. In some cases, when a dataset contains institutional affiliation information in its original metadata, this affiliation cannot be corrected in Data Monitor. If you think you found a potential error, we advise that you first check the original dataset and if corrections are needed submit your request to the repository where the dataset is hosted.<h3 class="mdui-h6">How do I export datasets?</h4>You may export all datasets listed in your institution’s Data Monitor page by clicking <strong>Export All</strong> and then selecting the <em>preferred format</em> (Data as CSV or Data as XLSX) from the dropdown menu that appears. To export a list of selected datasets you must first select what you want to export. From the list of results on the right panel, check one or more <strong>checkboxes</strong> next to the desired dataset. Then click the <strong>Export Selected</strong> dropdown menu and then select your preferred file format. Save the file to a location of your choice as you normally would. This is helpful in allowing you to analyze the information about the datasets you exported.</p> </div></div></div></div></div><div class="category" id="digital-commons-data"><h2 class="title mdui-h4">Digital Commons Data</h2><button aria-controls="16a-what-is-dcdata_text 16-access-digital-commons-data_text 18-dataset-requirements-dcdata_text 20-draft-vs-published-dataset-dcdata_text 22-data-ownership-dcdata_text 23-sharing-dcdata_text 24-custom-metadata_text 25-stored-safe-data-dcdata_text 26-local-storage-integration_text 27-local-storage-integration-NO-AWS_text 28-local-storage-integration-alternative-region_text 29-local-storage-integration-own-aws_text 30-local-storage-integration-data-file-routing_text 31-institutional-moderation-queue_text 32-dataset-embargo-dcdata_text 33-data-citable-dcdata_text 35-article-data-linking-dcdata_text 36-scholix-dcdata_text 37-OAI-PMH-dcdata_text 38-usage-metrics-dcdata_text 39-data-aggregator-dcdata_text 40-repository-API-dcdata_text 41-what-are-projects_text 42-article-data-linking-admin_text 43-how-to-create-edit-dataset-dcdata_text 44-how-to-edit-delete-dataset-dcdata_text 45-publish-draft-dataset-dcdata_text 46-create-folders-dcdata_text 47-move-files-folders-dcdata_text 48-create-project_text 49-edit-delete-project_text 50-institutional-admin-dcdata_text 51-use-customer-moderation_text 52-create-collection_text 53-collection-edit-unpublish-delete_text" aria-expanded="false" type="button" class="mdui-button action category-toggle"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Expand all</button><div class="question"><button aria-expanded="false" aria-owns="16a-what-is-dcdata_text" id="16a-what-is-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What is Digital Commons Data?</button><div id="16a-what-is-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p><a href="https://www.elsevier.com/solutions/digital-commons/data">Digital Commons Data</a> is a module for research data submission and hosting, part of the Digital Commons repository suite. Digital Commons Data offers a secure and trusted hosted platform for researchers to collaborate and manage data-intensive projects, and to share datasets in accordance with the FAIR data principles and funder policies.<h3 class="mdui-h5">How is Digital Commons Data different from Mendeley Data?</h3>While Digital Commons Data is offered to researchers at subscribing institutions under their institutional (data) repository, Mendeley Data is the Elsevier open generalist data repository to create, share and access FAIR data globally provided free to journal authors and researchers who may not have access to institutional or domain-specific repositories.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="16-access-digital-commons-data_text" id="16-access-digital-commons-data" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I access my Digital Commons Data institutional repository?</button><div id="16-access-digital-commons-data_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>In order to access your institution's repository you must have access to Digital Commons Data via your institution. This can be either by:<ul><li>Logging in via institutional authentication (e.g. Shibboleth). This is the preferred method of access, to ensure reliable access to institutional features.</li><li>Accessing from your institution's IP range</li><li>Logging in with an institutional email address</li></ul>For more information on adding institutional credentials to an existing account, changing the email associated to your account, or to change your password visit <a href="https://service.elsevier.com/app/home/supporthub/elsevieraccess/">Elsevier Access</a></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="18-dataset-requirements-dcdata_text" id="18-dataset-requirements-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What are the requirements for datasets?</button><div id="18-dataset-requirements-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Datasets are required to have a title, description, and at least one named contributor. Datasets must be scientific in nature and consist of research data. For example, raw or processed experimental or observational data is acceptable, rather than the narrative research article which may have resulted from the research. Datasets must <strong>NOT</strong> have already been published, and therefore may not already possess a DOI. They must <strong>NOT</strong> contain:<ul><li>Executable files or archives that are not accompanied by individually detailed file descriptions</li><li>Copyrighted content (audio, video, image, etc) to which you do not own the copyright</li><li>Sensitive information (for example, but not limited to, patient details, dates of birth, etc.)</li></ul><h3 class="mdui-h5">What are the maximum size and types of files that can be uploaded to Digital Commons Data?</h3>If your Institution subscribes to Digital Commons Data you will have the ability to create datasets up to a maximum size of 100GB. The maximum size will depend on the storage agreement that your institution has. To benefit from the additional size limit as an institutional user, you will need to connect your Mendeley account with your institutional email address. You can upload files of any format including individual files, zipped files and folders.<br /><br /><b><i>Note:</b></i> Zipped files preview is not supported.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="20-draft-vs-published-dataset-dcdata_text" id="20-draft-vs-published-dataset-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What is the difference between a “draft” dataset and a “published” dataset?</button><div id="20-draft-vs-published-dataset-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Once a dataset is drafted, it is in what is referred to as a <em>draft</em> state, meaning it has not yet been published. While in this state datasets can be edited and deleted. However, once a dataset it published, it is not possible to edit or delete it. For example, when you draft a dataset but do not publish it, it appears in <em>My Data</em> under the tab <em>Datasets</em> and has a status of <em>Draft</em> in the <strong>Published Version</strong> column.<br /><br />If you publish a dataset and need to modify it, you will do so by using a new version of it. Once you begin editing the dataset, for instance to change any of the metadata, or to add or remove files, you are actually editing the next version which is a replication of the original one.<br /><br />For example, your published dataset appears in <em>My Data</em> and has a status of <em>Version 1</em> in the </em>Published Version</em> column. If you click <strong>Edit draft</strong>, the dataset opens, allowing you to make changes. However, you will see in the right panel under the <em>Published information</em> section that the <em>Status</em> field shows <em>Draft (Version 2)</em>, the Published version field shows <em>Version 1</em>, and the <strong>Visibility</strong> field is <em>Private</em>.<br /><br />This new version is visible only to yourself and anyone you invite as a collaborator or with whom you share the link. This new version will also be in the draft state until it is ultimately published. If you start to edit the dataset again after it is again published, you will be editing the next iteration - <em>Draft (Version 3)</em>, for example. All published versions of a dataset can be viewed and compared by clicking the links in the Version history.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="22-data-ownership-dcdata_text" id="22-data-ownership-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Who owns and controls my data?</button><div id="22-data-ownership-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>When publishing data with your institution’s Digital Commons Data repository, there is a range of Creative Commons and open software and hardware licences from which to choose. Digital Commons (and parent company Elsevier) do not own the data you upload and publish using the your institutional repository. Your institution retains control and copyright over the data and can guide you on which terms to choose under so that others may consume and reuse your data. Draft datasets can be deleted in the web interface or API and your published datasets can be deleted by contacting your institutional repository manager (e.g. your institution’s Librarian).</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="23-sharing-dcdata_text" id="23-sharing-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Why is it beneficial to create a dataset?</button><div id="23-sharing-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Depositing your research data, code or other research objects in a repository enables you to share your results privately with collaborators or peer reviewers. Sharing your data or code publicly supports research reproducibility, supports you with receiving credit for your work through citations and others with reuse.<br /><br />Your publicly available published dataset will receive a DOI (Digital Object Identifier) and you may decide to share it fully, restrict access to the underlying files and share metadata of your dataset, or you may set an <a href="https://data.mendeley.com/faq#digital-commons-data-32-dataset-embargo-dcdata">embargo date</a> to release your dataset publicly in case your results are under peer-review as part of scholarly article.<br /><br />To learn more about creating datasets, refer to help article, <a href="https://data.mendeley.com/faq#digital-commons-data-43-how-to-create-edit-dataset-dcdata">How do I draft and edit a dataset?</a></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="24-custom-metadata_text" id="24-custom-metadata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Can I use custom metadata in my datasets?</button><div id="24-custom-metadata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, as an institutional user you can. Metadata is useful because datasets can be described in more detail and more consistently according to a standard template. This helps the institution with organizing data, and researchers with discovering and interpreting data. Your institution can set a custom metadata template with fields for all datasets. Every author at your institution will be presented with the additional fields on their dataset. The following custom metadata fields are currently supported:<ul><li>Free text</li><li>List of options (Single-select)</li><li>List of options (Multi-select)</li><li>Date</li></ul>Fields can be either mandatory or optional, and visible or hidden on the published dataset page.Custom metadata is displayed on the dataset page in a metadata section.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="25-stored-safe-data-dcdata_text" id="25-stored-safe-data-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How is data stored?</button><div id="25-stored-safe-data-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To ensure the <a href="https://docs.aws.amazon.com/AmazonS3/latest/dev/DataDurability.html">highest level of integrity and security possible</a>, data is stored on Amazon’s S3 servers in Ireland. Our service was extensively penetration tested and received certification. Additionally, your published datasets are archived with <a href="https://dans.knaw.nl/en">Data Archiving and Network Services (DANS)</a> to preserve your data over the long term. DANS is a long-term archiving provider, which is an institute of the Dutch Academy KNAW, and of the Netherlands' national research council, NWO. We contract with DANS to archive all valid published datasets in perpetuity. The agreement ensures that the DOIs we provide for datasets will always resolve to a web page, where the dataset metadata and files will be available. Data archived at DANS is backed up and stored in three locations for redundancy.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="26-local-storage-integration_text" id="26-local-storage-integration" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Does Digital Commons Data allow an institution to retain data files on its own storage servers? </button><div id="26-local-storage-integration_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, we can integrate with your institution's local storage servers, thus enabling users to deposit files to, and retrieve them from, your storage via your institutional repository. This means that all data file uploads and downloads go to and from your storage and allows your institution to retain full control of your data.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="27-local-storage-integration-NO-AWS_text" id="27-local-storage-integration-NO-AWS" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Can local storage integration be provided for institutional customers not using AWS?</button><div id="27-local-storage-integration-NO-AWS_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, the following S3-compatible providers are supported:<ul><li>Minio</li><li>Wasabi</li><li>DigitalOcean Spaces</li><li>Dreamhost</li><li>MERG</li></ul></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="28-local-storage-integration-alternative-region_text" id="28-local-storage-integration-alternative-region" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Can institutional customers use an alternative AWS region?</button><div id="28-local-storage-integration-alternative-region_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, as a Digital Commons Data customer you can choose an alternative AWS region. For more information about AWS available regions, refer to <a href="https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RegionsAndAvailabilityZones.html">the related Amazon link</a> if you wish your data to remain in a particular jurisdiction.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="29-local-storage-integration-own-aws_text" id="29-local-storage-integration-own-aws" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Can institutional customers use their own Amazon Web Services (AWS) account storage?</button><div id="29-local-storage-integration-own-aws_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, you can use Digital Commons Data's repository and management interfaces but choose to use your own AWS storage.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="30-local-storage-integration-data-file-routing_text" id="30-local-storage-integration-data-file-routing" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Can institutional customers opt for local storage to hold data files?</button><div id="30-local-storage-integration-data-file-routing_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, you can opt for local storage to hold data files. Additionally, file transfers are routed through, but not stored on, Digital Commons Data servers in AWS eu-west-1 region located in Ireland. However, dataset metadata are stored in that same AWS region, and published data files held on institutional storage are indexed in Data Monitor for full discoverability via the search engine.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="31-institutional-moderation-queue_text" id="31-institutional-moderation-queue" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How does Institutional moderation work?</button><div id="31-institutional-moderation-queue_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>When an author associated to your institution (or delegated customer moderator) submits a dataset for publishing it appears in your customer moderation queue. To view your moderation queue navigate to the header of the institutional repository page and click the tab <strong>Moderation</strong>. This will allow you to view the dataset metadata, download the files, and decide what you wish to do next. All datasets submitted for publishing, whose author is associated to your institution, will appear in your queue for moderation.<h3 class="mdui-h5">How does a moderator review a dataset before it becomes publicly available?</h3>Moderators can decide to approve a dataset in their queue to go live, return it to the author with comments to request changes, or directly edit the dataset title or description. Moderation enables data curators and librarians to curate and maintain the quality of dataset outputs associated to the institution. For more details please refer to <a href="https://data.mendeley.com/faq#digital-commons-data-51-use-customer-moderation"><em>How do I moderate my Institution’s datasets?</em></a></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="32-dataset-embargo-dcdata_text" id="32-dataset-embargo-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What does it mean when a dataset is 'under embargo'?</button><div id="32-dataset-embargo-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>When publishing a dataset, a user may choose to defer the date at which the data becomes available (for example, so that it is available at the same time as an associated article). This means that the description and files of that dataset are not publicly available until the embargo date is reached. Meanwhile, other information about the dataset, such as the contributors, title, citation and associated articles, becomes available immediately prior to the embargo.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="33-data-citable-dcdata_text" id="33-data-citable-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Is my data citable when I publish with Digital Commons Data?</button><div id="33-data-citable-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes! Once you publish your data it is given a digital object identifier (DOI) number, making it a citable reference.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="35-article-data-linking-dcdata_text" id="35-article-data-linking-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I associate my data to a published article?</button><div id="35-article-data-linking-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To link an existing dataset with a published article please contact your institution’s Librarian. In case your dataset was made available to reviewers during peer review of article we may be able to add an associated article badge to your dataset.<br /><br /> To link a draft dataset to a published article refer to <a href="https://data.mendeley.com/faq#digital-commons-data-43-how-to-create-edit-dataset-dcdata">How do I draft and edit a dataset?</a></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="36-scholix-dcdata_text" id="36-scholix-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How does Digital Commons Data Use Scholix to link articles/literature and datasets?</button><div id="36-scholix-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>The Framework for Scholarly Link Exchange, known as <a href="http://www.scholix.org/">Scholix</a>, is an initiative to create an open global information ecosystem to collect and exchange links between research data and literature. Digital Commons Data contributes to Scholix by sending its metadata, including links to associated articles, to DataCite, one of Scholix’s hubs that aggregates information on the links between datasets and articles. This enables broad visibility and findability of these links by anyone.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="37-OAI-PMH-dcdata_text" id="37-OAI-PMH-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Does Digital Commons Data support OAI-PMH?</button><div id="37-OAI-PMH-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Digital Commons Data supports harvesting our entire repository of public dataset records using the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) standard. This means metadata for all datasets published in your institutional repository are available in an open format to facilitate large-scale acquisition and analysis of records, underscoring our commitment to open science.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="38-usage-metrics-dcdata_text" id="38-usage-metrics-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What usage metrics are displayed on Digital Commons Data datasets?</button><div id="38-usage-metrics-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Each dataset in your institution’s repository displays a basket of different usage metrics to help measuring the impact of research data.<h3 class="mdui-h5">Reuse metrics</h3>These metrics include downloads, views and data citations. Downloads and views exclude machine-driven usage (e.g. bots, crawlers which are filtered according to the Project COUNTER list of bots). Data citations are sourced from DataCite and Crossref via the DataCite Event Data service.<h3 class="mdui-h5">Altmetrics</h3>We display metrics capturing social media attention, media & policy mentions powered by <a href="https://plumanalytics.com/learn/about-metrics/">PlumX</a>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="39-data-aggregator-dcdata_text" id="39-data-aggregator-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Are my datasets aggregated to any other services?</button><div id="39-data-aggregator-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, your published dataset metadata is aggregated to <a href="https://datacite.org/">DataCite</a>’s metadata index (a comprehensive research datasets metadata index) and to the <a href="https://www.openaire.eu/">OpenAIRE</a> portal, the EU’s research portal which aims to make as much European-funded research output as possible available to all.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="40-repository-API-dcdata_text" id="40-repository-API-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Can I manage my datasets in Digital Commons Data Repository via an API?</button><div id="40-repository-API-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Any of your content can be accessed and managed via our API. Please visit API documentation by navigating to the bottom of the page and clicking the API tab on in the footer.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="41-what-are-projects_text" id="41-what-are-projects" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What are Projects in Digital Commons Data?</button><div id="41-what-are-projects_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Projects are an active research data collaboration tool which enables research groups to gather, organize, annotate, and share data all in one place. Projects allow you to collect your research data as it is generated, easily share it privately with your group, and organize and label it for easy retrieval and packaging. It also helps you get more value from the data you generate by enabling you to share better quality data to increase the likelihood of your data being used and cited.<br /><br />To create a Project space navigate to the top of the page and on the header click the tab <strong>Projects</strong>. You can invite other researchers to join you or access any project you have previously been invited to. Once you are working on a project, you can connect a range of data sources, upload data to draft datasets, collaborate with your team on datasets, and eventually publish your data.<br /><br />If your data files are held on a storage service such as Dropbox, Google Drive, Box or Azure, you can connect the folders where they are held, to any of your projects. Then as new files are added, they will become available to your project team to view, share, and add to datasets. If your team uses a storage service we do not currently connect to, let us know so we can investigate supporting it. For detailed information on managing your projects refer to <a href="https://data.mendeley.com/faq#digital-commons-data-48-create-project"><em>How do I create a project?</em></a></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="42-article-data-linking-admin_text" id="42-article-data-linking-admin" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What happens to existing article-dataset links when changes are made within the Admin?</button><div id="42-article-data-linking-admin_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Digital Commons Data dataset-article links can be added or removed (including existing links) by your institution’s data repository Admin. The attribution of the dataset to your institution is not affected by this action. To learn more about the Admin function and linking articles to datasets refer to section <em>How do I manage my institution’s datasets as an administrator?</em> in the help article <a href="https://data.mendeley.com/faq#digital-commons-data-50-institutional-admin-dcdata"><em>How do I perform Administrative functions for Digital Commons Data?</em></a>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="43-how-to-create-edit-dataset-dcdata_text" id="43-how-to-create-edit-dataset-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I draft and edit a dataset?</button><div id="43-how-to-create-edit-dataset-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Firstly log in to your institution’s repository by navigating the to the top right of your institutional repository’s homepage and click the tab <strong>Sign In</strong>. The welcome page <em>My Data</em> then appears.<h3 class="mdui-h5">What are the options for initially drafting a dataset?</h3>Option A: If you are logged in, also from your institution's repository homepage, you can click <strong>My Data</strong>, and then click the leftmost “plus” button labeled <strong>Create new dataset</strong> under the <em>Find research data</em> section.<br /><br />Option B: Click <strong>Projects</strong> and then, from the list of displayed projects, click on a project. Then, in <em>Shared draft datasets</em> click <strong>Create a dataset</strong> or <strong>Import from your datasets</strong>. Enter the dataset name and then click <strong>Save</strong>.<h3 class="mdui-h5">How do I add or remove contributors?</h3>To add contributors, click the '+' in the <em>Contributors</em> section beneath the <em>Title</em> field. Then enter the email address and first and last name (required), and optionally, you may also include the Institution, ORCID iD, and details about the individual’s contribution. Finally, click <strong>Save Contributor</strong>. To remove a contributor, click on the individual’s name and then click <strong>Remove Contributor</strong>.<br /><br /><b><i>Note:</i></b> By default, your name appears as a contributor since you created the dataset. However, you may remove yourself ONLY after at least one other contributor is added to the dataset.<h3 class="mdui-h5">How do I add metadata to my newly drafted dataset?</h3>Once you have taken the preliminary step to create a dataset, you then must enter pertinent metadata. From the top of the new dataset page, you can edit the title.<br /><br />Enter a description into the <strong>Description</strong> field.<br /><br />To add data into the <strong>My files</strong> field of the dataset navigate to the section <em>Drag files or folders here</em> and drop off your files in that area or click <strong>Click here to upload</strong>. The latter prompts you to either upload a file from your computer by navigating to, selecting a file, and clicking Open from the Windows explorer window. Once the file upload is complete it will appear in the <em>My files</em> field. You can add a file or an entire folder, including zip files. For more information about file size limits refer to the section <em>What are the maximum size and types of files that can be uploaded to Digital Commons Data?</em> in FAQ <a href="https://data.mendeley.com/faq#digital-commons-data-18-dataset-requirements-dcdata"><em>What are the requirements for datasets?</em></a><br /><br />At this point you have the option to decide whether your dataset should be made fully accessible, including underlying files and folders, or restricted. To publish only the metadata of your dataset click the checkbox preceding <strong>Restrict access to files</strong>. Dataset users that would like to access your files will be able to request access and you can decide when to share files with specific requesters.<br /><br />The <em>Institution</em> field is optional and automatically populates your institution by default. However, you may add other institutions if needed. To do so, enter an institution name.<br /><br />You are required to add at least one category in the <em>Category</em> field before you publish a dataset. To do so, start typing in the <strong>Category</strong> field and then you can select from the list that populates as you type. You are not able to add a custom category so choose one that is closest to describing the category you need.<br /><br /><b><i>Note:</i></b> At this point, after having added data, you have effectively drafted your dataset and it is automatically saved into the system. If necessary, you can stop at this point and return to it later to edit or delete it. Refer to the help article <a href="https://data.mendeley.com/faq#digital-commons-data-44-how-to-edit-delete-dataset-dcdata"><em>How do I edit or delete a draft dataset?</em></a>. Otherwise, you can continue completing the information.<br /><br />Optionally, you may add details about how to reproduce the research represented in your dataset by entering these steps in the <em>Steps to reproduce</em> field.<br /><br />You can also add additional metadata by adding details in the <em>Date the data was collected</em> and <em>Nature of the data</em> fields, respectively.<br /><br />The <em>License</em> field defaults to ‘CC BY 4.0’ but you can change that by clicking <strong>Change</strong> and making a selection from the drop-down menu, and then clicking <strong>Change License</strong>. The <em>All</em> tab is displayed by default, but you can further specify the license type to be changed by selecting the <strong>Data</strong>,<strong>Software</strong>, or <strong>Hardware</strong> tab and then selecting the license type and clicking <strong>Change License</strong>.<br /><br />If appropriate you can also add a <em>Related link</em> to your dataset by clicking the <strong>Add a related link</strong> button at the bottom of the page. A dialogue box opens, prompting you to indicate a link type by selecting the <strong>Article</strong>, <strong>Dataset</strong>, or <strong>Software</strong> radio button, entering a <strong>URL</strong> link, and making a selection from the <em>Relationship</em> drop-down menu. You will then click <strong>Add link</strong>. The newly added link appears in the <em>Related Links</em> field near the bottom of the page of your published dataset.<h3 class="mdui-h5">How do I preview a newly drafted dataset?</h3>Once you have entered all the information into your newly created dataset, you may want to see how it will appear. To do so, click <strong>Preview</strong> at the bottom of the page, which will display how it will look once it is published.<h3 class="mdui-h5">What if I want to defer the availability of data to a later date (place a dataset 'under embargo')?</h3>When drafting a dataset, a user may choose to defer the date at which the data becomes available to ensure it is only available at the same time as an associated article, meaning the dataset description and files are not publicly available until that date.<br /><br />To place a dataset under embargo, it must be in the draft state. Click <strong>Set Embargo Date</strong> at the bottom right area of the page. The <em>Set Embargo Date</em> dialogue box opens, prompting you to indicate the time length of the embargo by either selecting <strong>3 months</strong>, <strong>6 months</strong>, or <strong>1 year</strong>; or by setting a date using the calendar feature. Once a selection is made, click <strong>Set Embargo</strong>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="44-how-to-edit-delete-dataset-dcdata_text" id="44-how-to-edit-delete-dataset-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I edit or delete a dataset?</button><div id="44-how-to-edit-delete-dataset-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>You can edit or delete a dataset only while it is in the <em>Draft</em> state, meaning until the point that you publish it. To do so, you must first locate it. Refer to FAQ <a href="https://data.mendeley.com/faq#digital-commons-data-20-draft-vs-published-dataset-dcdata"><em>What is the difference between a “draft” dataset and a “published” dataset?</em></a><br /><br />After logging into your institution’s repository, click the <strong>My Data</strong> tab. You will see a list of datasets. Only datasets that are labeled <em>Draft</em> in the <em>State</em> column can be edited or deleted.<h3 class="mdui-h5">How do I edit a draft dataset?</h3>To edit a draft dataset, click the dataset <strong>Name</strong> to open it and you will now be able to make edits. For more detailed information about the differences between editing draft and published datasets, please refer to FAQ <a href="https://data.mendeley.com/faq#digital-commons-data-20-draft-vs-published-dataset-dcdata"><em>What is the difference between a “draft” dataset and a “published” dataset?</em></a>.<h3 class="mdui-h5">How do I delete a draft dataset?</h3>To delete a /<em>draft dataset</em>, open the dataset draft as described above. Then click <strong>Delete</strong> (preceded by trashcan icon). A dialogue box appears, asking you to confirm that you want to delete the dataset. If so, click <strong>Delete</strong>. If you decide not to delete the dataset, click <strong>Cancel</strong> or close the dialogue box by clicking the ‘x’ in the top right corner.<h3 class="mdui-h5">How do I delete a published dataset?</h3>To delete a <strong>published</strong> dataset please contact your repository administrator.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="45-publish-draft-dataset-dcdata_text" id="45-publish-draft-dataset-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I publish a draft dataset?</button><div id="45-publish-draft-dataset-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Once you have drafted a dataset and added all the pertinent information, you can publish it by clicking <strong>Publish</strong> at the bottom right section of the page. Notice that beneath the Publish button, you will see an indication of the version you are about to publish. Once you click Publish you will be prompted to check several boxes indicating that you understand and agree to the conditions under which the dataset will be published. To publish metadata only records you will need to click the “Restrict access to files” check box in your draft dataset before publishing it. For more information refer to <a href="https://data.mendeley.com/faq#digital-commons-data-43-how-to-create-edit-dataset-dcdata"><em>How do I draft and edit a dataset?</em></a><br /><br /><b><i>Note:</i></b> Any visitor to a dataset page can preview files in a published dataset without having to download the files. This only applies to publicly available files in that dataset.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="46-create-folders-dcdata_text" id="46-create-folders-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I add, move, or delete folders inside a dataset?</button><div id="46-create-folders-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Folders are a way to group and logically organize the files in your dataset, in the same way that you would organize the files on your computer. You can add a maximum of 200 folders.<h3 class="mdui-h5">How do I add a folder?</h3>From within the dataset, click <strong>New Folder</strong> by the <em>My files</em> field. A new folder will appear inside it.<br /><br />Next, to add a name, to the <em>New folder</em> click the <strong>3 dots</strong> icon in the same row and subsequently click <strong>Rename</strong>. In the dialogue box write the preferred name. To add a description, again, click the <strong>3 dots</strong> icon in the same row and click <strong>Description</strong>. A dialogue box emerges allowing you to edit a description of the folder of up to 3000 characters.<h3 class="mdui-h5">How do I create sub-folders?</h3>To quickly create a sub-folder simply click on an <strong>existing folder</strong> and then click <em>New Folder</em>. A new sub-folder will be created within the selected folder.<br /><br /><b><i>Note:</i></b> You can create sub-folders up to 8 folders deep. You can also move a folder into another folder to make it a sub-folder. You cannot reorder folders, as these will always be sorted alphabetically/numerically.<br /><br />If you need to move one or more folders into another one, then check the box next to each of the folders you wish to move, and then click <strong>Move</strong>. A dialogue box opens prompting you to select the folder you want to move the folders into. Next, click <strong>Move here</strong>. These will now be sub-folders inside the folder into which you moved them.<h3 class="mdui-h5">How do I delete a folder?</h3>To delete a folder, simply check the box next to the desired folder and then click <strong>Delete</strong>. You will not be asked to confirm the deletion so be sure this is what you want to do.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="47-move-files-folders-dcdata_text" id="47-move-files-folders-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I add or move files and folders to an existing folder in a dataset?</button><div id="47-move-files-folders-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Similar to adding files and folders to a dataset, you can add files or entire folders directly into an existing folder in your dataset.<h3 class="mdui-h5">What are the options for adding content?</h3>Option A: To <strong>add</strong> content directly into a folder, click on the folder to select it and then. once in it, drag the files onto the drop zone in the <em>My files</em> section, or click <strong>Click here to upload</strong> depending on your browser. The file will be placed directly inside the folder without the need to move it.<br /><br />Option B: After creating a folder, you can move content (files and folders) that are listed in the <em>My files</em> section into it. Check the box next to the item(s) you wish to move and then click <strong>Move</strong>. A dialogue box opens prompting you to select the folder you want to move the content into. Next, click <strong>Move here</strong>. These will now be placed inside the folder into which you moved them.<br /><br /><b><i>Note</i></b>: You can add a zip file. However, its contents cannot be previewed. So, you will have to download the zip file to view its contents. You can also add nested folders, branching up to 14 levels deep, from the default root folder.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="48-create-project_text" id="48-create-project" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I create a project?</button><div id="48-create-project_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Upon signing into your institution’s repository, click the <strong>Projects</strong> tab. The <em>Projects</em> page displays a list of all existing projects for which you are either the owner or have been invited to join by another owner. This is the point from which you will add a new project.<br /><br />From the Projects page, click <strong>+ New Project</strong>. The <em>New Project</em> dialogue box opens, prompting you to enter a <strong>Project title</strong> and <strong>Description</strong> for the new project. Then, click <strong>Create project</strong>.<br /><br />Now that you have created the project, you can connect a range of data sources, upload data to draft datasets, collaborate with your team on datasets, and eventually publish your data.<h3 class="mdui-h5">How do I add members and data to a project?</h3>You may first want to add collaborators to your project. To do so, click the <strong>Members</strong> icon in the top right corner. The <em>Manage project members</em> dialogue box opens, prompting you to search for members by their email address. Click <strong>Search</strong>. A list of names will appear. Click <strong>+ Add next</strong> to the name you want to add. Now, you must assign a project role to this person as follows:<ul><li>An owner can edit and delete projects.</li><li>A project administrator can do different things, like assign owners and members.</li><li>An editor can edit the project and any datasets within it.</li><li>A viewer can only view the project but cannot change anything about it.</li></ul>Once you assign the role, click <strong>Save</strong>. Repeat these steps for each member you wish to add to the project. Now, click <strong>Close</strong> to close the <em>Manage Project Members</em> window.<br /><br /><b><i>Note:</i></b> If an individual you wish to add is not already a registered Mendeley user, when you click <strong>Search</strong> you will get a notification from the system, <em>Users not found</em>, upon which you will then be prompted to send an invitation via email for the person to create an account and then subsequently join your project. Click <strong>Send email invite</strong> to initiate this procedure.<h3 class="mdui-h5">How do I edit a project’s metadata?</h3>From the Projects page, click Settings (gear icon) in the top right corner and select <strong>Edit metadata</strong>. The <em>Edit Project</em> window opens, allowing you to edit the <em>Project title</em> or <em>Project description</em>. Once you have finished your edits, click <strong>Save Changes</strong>.<h3 class="mdui-h5">How do I manage data in my project?</h3>From within your project there are three main sections on the page:<ul><li><strong>Data sources</strong> – allows you to add a folder from an external cloud storage data source, such as Dropbox, Box, Google Drive, and One Drive, in order to share files with your team.</li><li><strong>Shared draft datasets</strong> – allows you to create a dataset to share date with your project team.</li><li><strong>Published data</strong> – allows you to view published datasets in your project.</li></ul><h3 class="mdui-h6">How do I add data sources?</h4>To add data sources, from inside the <em>Data sources</em> section, click <strong>Add a data source</strong>. The <em>Select a data source</em> dialogue box opens, allowing you to select the data source from which you want to add a folder. In the <em>Add from an existing Data Source</em> section click on the <em>preferred source icon</em> (for example Google Drive), and then click <strong>Select</strong>.<br /><br /><b><i>Note:</i></b> If your data source is not already connected to Digital Commons Data, you can add it by clicking an applicable icon from the <em>Create new data source</em> section in the <em>Select a data source</em> window. Follow the on-screen instructions and read the notices associated with connecting your external account.<br /><br />Once you select the data source from which you want to share a folder, the <em>Select folders to add to project</em> window opens, prompting you to select the folder you want to share and then click <strong>Share Folders</strong>. The folders you selected will appear in the <em>Data sources</em> section in your project.<br /><br /><b><i>Note:</i></b> You can only share folders, not individual files. Therefore, you would need to first share a folder and then look in it to locate and download a particular file. You may also drill down into a folder to share sub-folders inside of it.<br /><br />The folders you add to the <em>Data sources</em> section in your project that are from a cloud storage data source automatically synch with Digital Commons Data. So, if you go to your Google Drive and for example, make edits to folders or delete sub-folders, the actions you perform there will replicate identically inside your folder structure in the <em>Data sources</em> section of your project.<br /><br />To easily add content from within the folders in your project into a dataset in your project, clicking on a folder and navigate to the contents inside it or in a sub-folder within it. Once you locate the file you wish to add to a dataset, simply drag it into the dataset in the <em>Shared draft datasets</em> section and click <strong>Copy</strong>. A copy of the file will be added to the root of the dataset.<br /><br />Note: Any updates made to the original source file will <strong>NOT synch</strong> with a copy that you dragged into the dataset.<h3 class="mdui-h6">How do I share datasets?</h4>To share datasets, from inside the <em>Shared draft Datasets</em> section, click <strong>+ Add a shared dataset</strong>. A box opens, prompting you to add a Dataset name and click <strong>Save</strong>.<br /><br />Once the dataset is added, you can click on it and a side panel opens, prompting you to Edit or Remove the dataset. Click <strong>Edit</strong> to begin. Refer to Help article, “How do I draft and edit a dataset?” and go to the section labeled “How do I add information to my newly drafted dataset?” for more details about how to add data files or edit fields in a dataset. Repeat the above steps to add additional datasets to your project.<h3 class="mdui-h6">How do I publish shared datasets from within my project?</h4>Once you have added datasets to the project, you can publish them from within the project. From inside the <em>Shared draft datasets</em> section, click on the dataset you wish to publish. In the right panel, scroll down and click <strong>Edit</strong> to open the dataset. Once you have verified that all the information is correct, and/or you have made any final edits, click <strong>Publish</strong>. Refer to Help article <a href="https://data.mendeley.com/faq#digital-commons-data-45-publish-draft-dataset-dcdata"><em>How do I publish a draft dataset?</em></a> for more information. Once you publish the dataset it will appear in the <em>Published data</em> section of your project.<h3 class="mdui-h6">How do I add contents from folders into a shared dataset in my project?</h4>Once you have added folders and datasets to your project, you can easily add content from within the folders to datasets, by using one of the following options:<br /><br />Option A: Click on a folder and navigate to the contents inside it or in a sub-folder within it. Next, you can download the files onto your computer. Now, from the <em>Shared draft datasets</em> section, click the dataset to which you want to add files. Click <strong>Edit</strong> to open the dataset. Refer to Help article, “How do I draft and edit a dataset?” and go to the section labeled “How do I add information to my newly drafted dataset?” for instructions on how to add data into the <em>My files</em> field.<br /><br />Option B: Click on a folder and navigate to the contents inside it or in a sub-folder within it. Once you locate the file you wish to add to a dataset, simply drag it into the dataset in the <em>Shared data datasets</em> section and click <strong>Copy</strong>. A copy of the file will be added to the root of the dataset.<br /><br /><b><i>Note:</i></b> Any updates made to the original source file will <strong>NOT synch</strong> with a copy that you dragged into the dataset.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="49-edit-delete-project_text" id="49-edit-delete-project" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I edit or delete a project?</button><div id="49-edit-delete-project_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To edit or delete a project you must have the role of owner or admin of the project. While logged in, go to <strong>Projects</strong> and search for the project you want to edit or delete.<br /><br />To make edits, click the project. Refer to Help article <a href="https://data.mendeley.com/faq#digital-commons-data-48-create-project"><em>How do I create a project?</em></a> for instructions on inviting more members, editing metadata, or adding more data sources and data folders to the project.<br /><br />You will only see the <em>Delete</em> button available if you are the project owner. If the button is available click <strong>Delete</strong>. A dialogue box opens, asking you to confirm the deletion, as it cannot be undone. Click <strong>Delete</strong> to confirm.<br /><br /><b><i>Note</i></b>: Any of datasets that were linked to the project you deleted will still be available in the respective <em>My Data</em> section of the person to whom it belongs.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="50-institutional-admin-dcdata_text" id="50-institutional-admin-dcdata" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I perform Administrative functions for institution’s data repository?</button><div id="50-institutional-admin-dcdata_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To begin, <strong>Sign In</strong> to your institution’s Digital Commons Data instance at the top right section of the page. Upon logging in as an administrator, the <em>My Data</em> homepage appears. Click the <strong>Admin tab</strong>. The admin page opens on the <em>Datasets</em> tab by default. You will see four sub-tabs in the upper right area – <em>Datasets</em>, <em>Users</em>, <em>Audit Log</em>, and <em>Customise Homepage</em>.<h3 class="mdui-h5">How do I manage my institution’s datasets as an administrator?</h3>The <em>Datasets</em> tab lists your institution’s published datasets. There are sub-tabs for both <em>Public</em> and <em>Draft</em> datasets. To filter the list of datasets, enter search words in the Search field and click the “magnifying glass” icon or press <strong>Enter</strong>.<h3 class="mdui-h6">How do I manage public datasets?</h4>From the <em>Public datasets</em> sub-tab, displayed are the <em>Name</em> of the dataset, the <em>Owner</em>, <em>Version</em>, <em>Published date and time</em>, and the <em>DOI</em>. By clicking on the <strong>three dot</strong> icon you also have the ability to <em>Manage articles</em> associated with a dataset or to <em>Remove</em> a dataset. Refer to FAQ <a href="https://data.mendeley.com/faq#digital-commons-data-20-draft-vs-published-dataset-dcdata"><em>What is the difference between a “draft” dataset and a “published” dataset?</em></a> for more information about dataset versions.<br /><br />To view the dataset page, click the <strong>DOI link</strong> to open it, thus enabling you to view more detailed information, download files, cite the dataset and compare versions of it.<br /><br />If you wish to export the metadata of your institution’s datasets you may do so by clicking on <strong>Export CSV</strong> which is found above the list of datasets in the Public datasets sub-tab.<br /><br />To manage articles associated with the dataset, click <strong>Manage articles</strong>. The <em>Manage articles</em> window opens, allowing you to add an article DOI. To do so, enter the DOI in the <em>Add article DOI</em> field and then click <strong>+ Add.</strong><br /><br />Once an article is added, it can also be removed. Click <strong>Manage articles</strong>. The <em>Manage articles</em> window opens, allowing you to locate the <em>Associated article</em> you wish to remove and click <strong>Delete</strong>.<h3 class="mdui-h6">How do I manage draft datasets?</h4> From the <em>Draft datasets</em> sub-tab, displayed are the <em>Name</em> of the dataset, the <em>Owner</em>, <em>Created date and time</em>, and the <em>Last Updated date and time</em>. You also have the ability to <em>Edit</em> datasets or to <em>Transfer ownership</em> of a dataset. Refer to Help article <a href="https://data.mendeley.com/faq#digital-commons-data-43-how-to-create-edit-dataset-dcdata"><em>How do I draft and edit a dataset?</em></a> and go to the section labeled <em>How do I add information to my newly drafted dataset?</em> for further instructions.<h3 class="mdui-h5">How do I manage my institution’s users log as an administrator?</h3>From the <em>Admin</em> page, click the <strong>Users</strong> tab to see a list of users. Also, from the <em>Users</em> tab, you may see a combination of the three sub-tabs – <em>Admin</em>, <em>Moderator</em>, and <em>Data Monitor</em>. These sub-tabs distinguish the different roles that users may have within the system and depending on your institution's subscription of Digital Commons Data. Note that a user’s name may appear on more than one of these sub-lists, indicating that they have multiple roles and privileges assigned to them.<br /><br />To add a user, click the appropriate sub-tab (Admin, Moderator, or Data Monitor) and then click <strong>+ Add</strong>. A dialogue box opens, prompting you to add a <strong>User email</strong> and then click <strong>Add</strong>.<br /><br />To remove a user, click <strong>Remove</strong> next to their name. A dialogue box opens, asking you to confirm the deletion. Click <strong>Remove</strong> to confirm.<h3 class="mdui-h5">How do I manage my institution’s audit log as an administrator?</h3>From the <em>Admin</em> page, click the <strong>Audit Log</strong> tab to see a list of all of your institution’s dataset editing activity in chronological order. You can see the <em>Dataset ID</em>, <em>Version</em>, which <em>Action</em> occurred (such as <em>created</em> or <em>updated</em>), which <em>Entity</em> was updated (such as <em>license</em> or <em>draft dataset</em>), which <em>User ID</em> made the edit, and the <em>Date</em> (including time) the edit was made. You also have the ability to click <em>Expand details</em> to see more information and download the record of <em>Action details</em>.<br /><br />You can further filter dataset editing activity by using the filters in the left panel. To view editing activity for a specific date range, click the calendar icons to enter <strong>From</strong> and <strong>Until</strong> dates. Or, you may choose to select one of the <strong>radio buttons</strong> to filter by Anytime, Last 24 hours, Last week, or Last month.<br /><br />Additional filters include <em>User ID</em>, <em>Dataset ID</em>, and <em>Action type</em>. Each has a text field for you to enter search words.<br /><br />You may also choose to select one of the radio buttons to filter by <em>All users</em> or <em>Admin</em> only.<br /><br />Once you have filtered the datasets for which you want to audit editing activity, you can save a list of the results. To do so, click <strong>Export results</strong> and save the file to a location of your choice as you normally would.<h3 class="mdui-h5">How do I customise my institution’s homepage as an administrator?</h3>From the <em>Admin</em> page, click the <strong>Customise homepage</strong> tab. Here you will see a section at the top called <em>Featured Collections</em> comprised of various topical sections on your institution’s homepage.<br /><br />The main body of the page displays the contents of the <em>Featured sections</em>. These sections appear as separate areas on your institution’s homepage. Each section has within it a list of collections which include the <em>Collection name</em>, <em>Owner</em>, and <em>Last updated date</em>.<h3 class="mdui-h6">How do I manage a featured / topical section on my institution’s homepage?</h4>You can determine whether or not to display a particular section by clicking the toggle button to make it either <strong>Hidden</strong> or <strong>Public</strong>. You can also determine how a section is displayed by making a selection from the <strong>Display</strong> drop-down menu to have it appear either as a <em>Card</em> or <em>Title</em>. To allocate a position on the homepage, select a number from the <strong>Position</strong> drop-down menu.<br /><br />To add a featured section to your institution’s homepage, click <strong>New featured section</strong>. The <em>Create featured section</em> dialogue box opens, prompting you to add a <strong>Section title</strong> and click <strong>Create</strong>. The newly added section will display, and you can now add collections to it.<br /><br />To add collections to a featured section, go to the featured section to which you want to make an addition, and click <strong>Add collection</strong>. The <em>Collections to be added</em> dialogue box opens, prompting you to <strong>Find research data</strong>. Refer to help article <a href="https://data.mendeley.com/faq#digital-commons-data-52-create-collection"><em>How do I create a collection?</em></a> and go to the section labeled <em>How do I add a dataset to a collection?</em> for instructions.<br /><br />To edit a featured section, click <strong>Edit</strong> (pencil icon) next to the section name. The <em>Edit [section name]</em> dialogue box opens, prompting you to edit the <strong>Section title</strong> and click <strong>Save</strong>.<br /><br />To delete a featured section, click <strong>Delete</strong>. A dialogue box opens, asking you to confirm the deletion. Click <strong>Delete</strong> to confirm.<br /><br />To delete a collection from within a featured section, click <strong>Remove</strong>.<br /><br /><b><i>Note:</i></b> A dialogue box asking you to confirm the deletion <strong>DOES NOT APPEAR</strong>. So, be sure you want to remove the collection beforehand!</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="51-use-customer-moderation_text" id="51-use-customer-moderation" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I moderate my Institution’s datasets?</button><div id="51-use-customer-moderation_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To begin, <strong>Sign In</strong> to your institution’s Digital Commons Data instance at the top right section of the page. Upon logging in the <em>My Data</em> page appears. Click the <strong>Moderation</strong> tab. The <em>Datasets in moderation</em> page displays. You will see two tabs on the page - <em>Waiting for review</em> and <em>Returned to owner</em>.<h3 class="mdui-h5">How do I review a dataset before approval?</h3>From the <em>Waiting for review</em> tab, you will see datasets that were drafted and for which publication was requested and are now awaiting review. Click <strong>View Draft</strong> next to the dataset you wish to review. A dialogue box appears, prompting you to take one of the following actions: <strong>Request changes</strong> or <strong>Approve</strong>.<h3 class="mdui-h6">How do I edit the dataset title or description?</h4>The moderator may decide to edit the title or description of the dataset on behalf of the author. To do so, click “Request changes” and once in the dialogue box click the <strong>Edit dataset title and description</strong> button at the top of the box.<h3 class="mdui-h6">How do I return a dataset to the author?</h4>The moderator may decide to return the dataset to the author for updates. To do so, click <strong>Request Changes</strong>. The <em>Request changes</em> dialogue box opens, prompting you to enter a reason in the Reason for returning dataset to owner open text field. Click <strong>Request changes</strong>. The dataset will be returned to the author for further action. The dataset that you returned now appears in the <em>Returned to owner</em> tab.<h3 class="mdui-h6">How do I approve the dataset?</h4> The moderator may decide to approve the dataset. To do so, click <strong>Approve</strong>.<br /><br /><b><i>Note:</i></b> When reviewing the dataset, the moderator also has the option to download files associated with it.<h3 class="mdui-h5">How can I view a list of all datasets previously returned?</h3>To view a list of datasets that were returned to the author, from the <em>Datasets in moderation page</em>, click the <strong>Returned to owner</strong> tab. A list of datasets displays. Click <strong>View draft</strong> to open the dataset and view its information or click <strong>Latest request</strong> to see the newest comments added when the dataset was returned to the author.<h3 class="mdui-h5">How do I view the moderation history of datasets?</h3>From both the <em>Waiting for review</em> and <em>Returned to owner</em> tabs, click <strong>Activity</strong> next to the dataset for which you would like to see a chronological history. You will see when the dataset was first submitted, when it was subsequently returned, as well as moderator comments that were added each time it was returned.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="52-create-collection_text" id="52-create-collection" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I create a collection?</button><div id="52-create-collection_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>After logging to your institution’s Digital Commons Data repository instance, in the <em>My Data</em> click <strong>Collections</strong>. This is the point from which you can add a new collection. To add a new collection, click the <strong>+ New Collection</strong> button. The <em>New Collection</em> dialogue box opens, prompting you to enter a <strong>Name</strong> and <strong>Description</strong> for the new collection. Then, click <strong>Create collection</strong>.<h3 class="mdui-h5">How do I add a dataset to a collection?</h3>Now you will add items to your collection. Mainly you will add datasets, but you can also add articles or even other collections. To add a dataset, click <strong>+ Add Dataset</strong>. This opens a <em>Add datasets to [collection name]</em> dialogue box, prompting you to enter keywords into the <strong>Find research data</strong> field.<br /><br /><b><i>Note:</i></b> By default, the check box to only show results from your institution is checked. You can uncheck this if you choose to include datasets from sources outside your institution.<br /><br />From the left panel, you can filter your search results by <em>Data Types</em>, <em>Source Types</em>, and <em>Sources</em> if you opted to deselect the default setting to only show datasets from your institution.<br /><br /><b><i>Note:</i></b> If you need to perform and advanced search, simply click <strong>Advanced search help</strong> beneath the search field. This will reference the FAQ associated with this topic that will help you complete the advanced search.<br /><br />Search results appear on the right panel of the window. To view more detailed information and to preview its files, click the title of a dataset. To add the dataset to your collection, click <strong>+ Add to collection</strong>. This selection is now added to your new collection. Click the <b>'x'</b> at the top right of the window to close it.<h3 class="mdui-h5">How do I edit a collection’s metadata?</h3>You have the option to edit the metadata of your collection. Click <strong>Edit Metadata</strong>. The <em>Edit Collection information</em> dialogue box opens, allowing you to do the following:<ul><li>Edit the name</li><li>Add or remove contributors</li><li>Add or remove categories and institutions</li><li>Edit the description</li></ul><b><i>Note:</i></b> Collections are not required to have any contributors.<br /><br />Once you have made your edits, click <strong>Save</strong>. You may also add additional datasets or delete a dataset by clicking <strong>x Remove</strong> next to the dataset you want to delete.<h3 class="mdui-h5">How do I publish a collection?</h3>Once you have created the collection, added datasets to it, and made any necessary edits, if you are ready to publish it, simply click <strong>Publish</strong>. A dialogue box appears, prompting you to confirm that you want to publish the collection. Click <strong>Publish</strong> to confirm.<br /><br />Your collection now appears as a line item in the search results panel on the Collections page with a status of <em>Published</em>. Collections are also searchable and will appear in Data Monitor as well as on your institution's Digital Commons Data homepage.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="53-collection-edit-unpublish-delete_text" id="53-collection-edit-unpublish-delete" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I edit, unpublish, or delete a collection? </button><div id="53-collection-edit-unpublish-delete_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Regardless of whether a collection is in the draft state or is published, it is easy to edit, unpublish, or delete it.<h3 class="mdui-h5">How do I edit a collection?</h3>To make edits to a collection, go to <strong>Collections</strong> in your institution’s instance of Digital Commons Data, locate the collection you want to edit, and then click <strong>Edit</strong> (pencil icon). This opens the collection and allows you to edit the metadata and add or remove datasets. You can also unpublish it from here if desired. For instructions on editing a collection, refer to Help article <a href="https://data.mendeley.com/faq#digital-commons-data-52-create-collection"><em>How do I create a collection?</em></a> and go to section <em>How do I edit a collection's metadata?</em><h3 class="mdui-h5">How do I unpublish a collection?</h3>To unpublish a collection, go to <strong>Collections</strong>, locate the published collection you want to unpublish, and then click <strong>Unpublish</strong>. This will revert the collection back to <em>Draft</em> status.<h3 class="mdui-h5">How do I delete a collection?</h3>To delete a collection, go to <strong>Collections</strong>, locate the collection you want to delete and complete the following steps accordingly:<ul><li>If the collection is in <em>Draft</em> status, simply click <strong>Delete</strong>. You will be asked to confirm the deletion by clicking <strong>Delete</strong>.</li><li>If the collection is <em>Published</em>, follow the steps to unpublish it, which will revert it to <em>Draft</em>, and then delete as described above.</li></ul></p> </div></div></div></div></div><div class="category" id="mendeley-data"><h2 class="title mdui-h4">Mendeley Data</h2><button aria-controls="54-mendeley-account_text 56-dataset-requirements-md_text 58-draft-vs-published-dataset-md_text 59-DOI-md_text 60-data-ownership-md_text 61-sharing-md_text 62-stored-safe-data-md_text 63-moderated-dataset_text 64-dataset-embargo-md_text 65-data-citable-md_text 67-article-data-linking-md_text 68-scholix-md_text 69-OAI-PMH-md_text 70-usage-metrics-md_text 71-data-aggregator-md_text 72-repository-API-md_text 74-report-dataset_text 75-how-to-create-edit-dataset-md_text 76-how-to-edit-delete-dataset-md_text 77-publish-draft-dataset-md_text 78-create-folders-md_text 79-move-files-folders-md_text" aria-expanded="false" type="button" class="mdui-button action category-toggle"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Expand all</button><div class="question"><button aria-expanded="false" aria-owns="54-mendeley-account_text" id="54-mendeley-account" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>If I already have a Mendeley account do I need to create a separate Mendeley Data account?</button><div id="54-mendeley-account_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>It is not necessary to create a separate Mendeley Data account because your login credentials are valid across Mendeley as a whole.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="56-dataset-requirements-md_text" id="56-dataset-requirements-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What are the requirements for datasets?</button><div id="56-dataset-requirements-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Datasets are required to have a title, description, and at least one named contributor. Datasets must be scientific in nature and consist of research data. For example, raw or processed experimental or observational data is acceptable, rather than the narrative research article which may have resulted from the research. Datasets must <strong>NOT</strong> have already been published, and therefore may not already possess a DOI. They must <strong>NOT</strong> contain:<ul><li>Executable files or archives that are not accompanied by individually detailed file descriptions</li><li>Copyrighted content (audio, video, image, etc) to which you do not own the copyright</li><li>Sensitive information (for example, but not limited to, patient details, dates of birth, etc.)</li></ul><h3 class="mdui-h5">What are the maximum size and types of files that can be uploaded to Mendeley Data?</h3>You can upload files of any format, up to a maximum of 10GB per dataset. The types of files you can upload include individual and zipped files as well as folders. If your Institution has a data repository with Digital Commons refer to <a href="https://data.mendeley.com/faq#digital-commons-data-18-dataset-requirements-dcdata"><em>What are the requirements for datasets?</em></a> in the Digital Commons Data FAQ section for more information.<br /><br /><b><i>Note:</i></b> Zipped files preview is not supported.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="58-draft-vs-published-dataset-md_text" id="58-draft-vs-published-dataset-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What is the difference between a “draft” dataset and a “published” dataset?</button><div id="58-draft-vs-published-dataset-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Once a dataset is drafted, it is in what is referred to as a <em>draft</em> state, meaning it has not yet been published. While in this state datasets can be edited and deleted. However, once a dataset it published, it is not possible to edit or delete it. For example, when you draft a dataset but do not publish it, it appears in <em>My Data</em> under the tab <em>Datasets</em> and has a status of <em>Draft</em> in the <strong>Published Version</strong> column.<br /><br />If you publish a dataset and need to modify it, you will do so by using a new version of it. Once you begin editing the dataset, for instance to change any of the metadata, or to add or remove files, you are actually editing the next version which is a replication of the original one.<br /><br />For example, your published dataset appears in <em>My Data</em> and has a status of <em>Version 1</em> in the </em>Published Version</em> column. If you click <strong>Edit draft</strong>, the dataset opens, allowing you to make changes. However, you will see in the right panel under the <em>Published information</em> section that the <em>Status</em> field shows <em>Draft (Version 2)</em>, the Published version field shows <em>Version 1</em>, and the <strong>Visibility</strong> field is <em>Private</em>.<br /><br />This new version is visible only to yourself and anyone you invite as a collaborator or with whom you share the link. This new version will also be in the draft state until it is ultimately published. If you start to edit the dataset again after it is again published, you will be editing the next iteration - <em>Draft (Version 3)</em>, for example. All published versions of a dataset can be viewed and compared by clicking the links in the Version history.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="59-DOI-md_text" id="59-DOI-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What is a DOI?</button><div id="59-DOI-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>DOI stands for <em>digital object identifier</em> and is an alphanumeric code providing a unique and persistent link to specific electronically published content. Mendeley Data assigns a provisional DOI to draft datasets. It is used to make an object uniquely identifiable from any others when your object is published and made available electronically. The DOI for a digital object remains fixed over the lifetime of the object. A permanent DOI for Mendeley Data submitted datasets is issued by DataCite.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="60-data-ownership-md_text" id="60-data-ownership-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Who owns and controls my data?</button><div id="60-data-ownership-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>When publishing data with our service, there is a range of Creative Commons and open software and hardware licences from which to choose. Mendeley (and parent company Elsevier) do not own the data you upload and publish using the Mendeley Data service. You retain complete control and copyright over the data and choose the terms under which others may consume and reuse it. Draft datasets can be deleted in the web interface or API and your published datasets can be deleted by contacting us. By creating a Mendeley user account and posting data, you grant our service permission to 'publish, extract, reformat, adapt, build upon, index, re-distribute, link to, and otherwise use [published data]'. We only seek to carry out these activities to the extent needed to provide services on our website and in our API for end users, such as enabling public datasets to be discovered and accessed.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="61-sharing-md_text" id="61-sharing-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Why is it beneficial to create a dataset?</button><div id="61-sharing-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Depositing your research data, code or other research objects in a repository enables you to share your results privately with collaborators or peer reviewers. Sharing your data or code publicly supports research reproducibility, supports you with receiving credit for your work through citations and others with reuse.<br /><br />Your publicly available published dataset will receive a <a href="https://data.mendeley.com/faq#mendeley-data-59-DOI-md">DOI</a> and you may decide to share it fully, restrict access to the underlying files and share metadata of your dataset, or you may set an <a href="https://data.mendeley.com/faq#mendeley-data-64-dataset-embargo-md">embargo date</a> to release your dataset publicly in case your results are under peer-review as part of scholarly article.<br /><br />To learn more about creating datasets, refer to help article, <a href="https://data.mendeley.com/faq#mendeley-data-75-how-to-create-edit-dataset-md"><em>How do I draft and edit a dataset?</em></a>. To link a draft dataset to a published article refer to <a href="https://data.mendeley.com/faq#mendeley-data-67-article-data-linking-md"><em>How do I associate my data to a published article?</em></a></p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="62-stored-safe-data-md_text" id="62-stored-safe-data-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How is data stored?</button><div id="62-stored-safe-data-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To ensure the <a href="https://docs.aws.amazon.com/AmazonS3/latest/dev/DataDurability.html">highest level of integrity and security possible</a>, data is stored on Amazon’s S3 servers in Ireland. Our service was extensively penetration tested and received certification. Additionally, your published datasets are archived with <a href="https://dans.knaw.nl/en">Data Archiving and Network Services (DANS)</a> to preserve your data over the long term. DANS is a long-term archiving provider, which is an institute of the Dutch Academy KNAW, and of the Netherlands' national research council, NWO. We contract with DANS to archive all valid published datasets in perpetuity. The agreement ensures that the DOIs we provide for datasets will always resolve to a web page, where the dataset metadata and files will be available. Data archived at DANS is backed up and stored in three locations for redundancy.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="63-moderated-dataset_text" id="63-moderated-dataset" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Are datasets moderated?</button><div id="63-moderated-dataset_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, datasets posted to Mendeley Data go into a moderation period to verify that requirements are met. Datasets that meet the requirements become publicly visible on the dataset index and are archived with <a href="https://dans.knaw.nl/en">Data Archiving and Network Services (DANS)</a>. You may contact our Support team if your dataset remains in moderation for more than a week. Please note that we do not currently validate or curate the contents of valid research datasets. After your dataset has been reviewed, you will receive an email to tell you whether it has been accepted and is publicly visible with an active DOI, or it has been flagged for not complying with the requirements for Mendeley Data datasets. Datasets that do not meet the requirements will not become publicly visible. If you spot a dataset that you think doesn’t meet our requirements, please notify us by clicking the “report” button on the dataset.<br /><br />We aim to moderate all datasets within 2 business days from submission (excluding UK holidays).</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="64-dataset-embargo-md_text" id="64-dataset-embargo-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What does it mean when a dataset is 'under embargo'?</button><div id="64-dataset-embargo-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>When publishing a dataset, a user may choose to defer the date at which the data becomes available (for example, so that it is available at the same time as an associated article). This means that the description and files of that dataset are not publicly available until the embargo date is reached. Meanwhile, other information about the dataset, such as the contributors, title, citation and associated articles, becomes available immediately prior to the embargo.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="65-data-citable-md_text" id="65-data-citable-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Is my data citable when I publish with Mendeley Data?</button><div id="65-data-citable-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes! Once you publish your data it is given a digital object identifier (DOI) number, making it a citable reference.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="67-article-data-linking-md_text" id="67-article-data-linking-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I associate my data to a published article?</button><div id="67-article-data-linking-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To link an existing dataset with a published article (e.g.<a href="https://data.mendeley.com/datasets/v8sfxkh9pw/1">https://data.mendeley.com/datasets/v8sfxkh9pw/1</a>) please contact us via our <a href="https://service.elsevier.com/app/contact/supporthub/mendeley/">email form</a> by selecting Product <em>Data</em> and with the subject <em>Link dataset and published article</em>.<br /><br />In case your dataset was made available to reviewers during peer review of article we may be able to add an associated article badge to your dataset. In such cases you will need to seek approval from the journal editor to link a specific version of your dataset to the article it supports.<br /><br />Upon approval we will be able to place an associated article badge on your dataset with a direct link to the article it supports.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="68-scholix-md_text" id="68-scholix-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How does Mendeley Data use Scholix to link articles/literature and datasets?</button><div id="68-scholix-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>The Framework for Scholarly Link Exchange, known as <a href="http://www.scholix.org/">Scholix</a>, is an initiative to create an open global information ecosystem to collect and exchange links between research data and literature. As a contributor to Scholix, Mendeley Data sends its metadata, including links to associated articles, to DataCite, one of Scholix’s hubs that aggregates information on the links between datasets and articles. This enables broad visibility and findability of these links by anyone.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="69-OAI-PMH-md_text" id="69-OAI-PMH-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Does Mendeley Data support OAI-PMH?</button><div id="69-OAI-PMH-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Mendeley Data supports harvesting our entire repository of public dataset records using the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) standard. This means metadata for all datasets published in Mendeley Data are available in an open format to facilitate large-scale acquisition and analysis of records, underscoring our commitment to open science.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="70-usage-metrics-md_text" id="70-usage-metrics-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>What usage metrics are displayed on Mendeley Data datasets?</button><div id="70-usage-metrics-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To measure the impact of research data each dataset in Mendeley Data Repository displays a basket of different usage metrics.<h3 class="mdui-h5">Reuse metrics</h3>These metrics include downloads, views and data citations. Downloads and views exclude machine-driven usage (e.g. bots, crawlers which are filtered according to the Project COUNTER list of bots). Data citations are sourced from DataCite and Crossref via the DataCite Event Data service.<h3 class="mdui-h5">Altmetrics</h3>We display metrics capturing social media attention, media & policy mentions powered by <a href="https://plumanalytics.com/learn/about-metrics/">PlumX</a>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="71-data-aggregator-md_text" id="71-data-aggregator-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Are my datasets aggregated to any other services?</button><div id="71-data-aggregator-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Yes, your published dataset metadata is aggregated to <a href="https://datacite.org/">DataCite</a>’s metadata index (a comprehensive research datasets metadata index) and to the <a href="https://www.openaire.eu/">OpenAIRE</a> portal, the EU’s research portal which aims to make as much European-funded research output as possible available to all.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="72-repository-API-md_text" id="72-repository-API-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Can I manage my datasets in Mendeley Data Repository via an API?</button><div id="72-repository-API-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Any of your content can be accessed and managed via our API by visiting <a href="https://data.mendeley.com/api/docs/">https://data.mendeley.com/api/docs/</a>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="74-report-dataset_text" id="74-report-dataset" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How Do I Report a Dataset?</button><div id="74-report-dataset_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Mendeley Data datasets are moderated to verify that a number of requirements are met. If you find a dataset you consider does not meet these requirements or is in conflict with <a href="https://publicationethics.org/">publication ethics</a>, please notify us via our <a href="https://service.elsevier.com/app/contact/supporthub/mendeley/">email form</a> and include “I wish to report a dataset” in the subject line.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="75-how-to-create-edit-dataset-md_text" id="75-how-to-create-edit-dataset-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I draft and edit a dataset?</button><div id="75-how-to-create-edit-dataset-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>To begin, go to <a href="http://data.mendeley.com/">data.mendeley.com</a> and click <strong>Sign In</strong> in the top right section of the page. Upon logging in, you the Mendeley Data homepage appears.<h3 class="mdui-h5">What are the options for initially drafting a dataset?</h3>Option A: From the Mendeley Data homepage, click <strong>Create a Dataset</strong>. The <em>New Dataset</em> window opens, prompting you to enter a name. Then click <strong>Create Dataset</strong>.<br /><br />Option B: Alternatively, also from the Mendeley Data homepage, you can click <strong>My Data</strong>, and then click the <strong>New Dataset</strong> button in the top left section of the page.<h3 class="mdui-h5">How do I add or remove contributors?</h3>To add contributors, click the '+' in the <em>Contributors</em> section beneath the <em>Title</em> field. Then enter the email address and first and last name (required), and optionally, you may also include the Institution, ORCID iD, and details about the individual’s contribution. Finally, click <strong>Save Contributor</strong>. To remove a contributor, click on the individual’s name and then click <strong>Remove Contributor</strong>.<br /><br /><b><i>Note:</i></b> By default, your name appears as a contributor since you created the dataset. However, you may remove yourself ONLY after at least one other contributor is added to the dataset.<h3 class="mdui-h5">How do I add metadata to my newly drafted dataset?</h3>Once you have taken the preliminary step to create a dataset, you then must enter pertinent metadata. From the top of the new dataset page, you can edit the title.<br /><br />Enter a description into the <strong>Description</strong> field.<br /><br />To add data into the <strong>My files</strong> field of the dataset navigate to the section <em>Drag files or folders here</em> and drop off your files in that area or click <strong>Click here to upload</strong>. The latter prompts you to either upload a file from your computer by navigating to, selecting a file, and clicking Open from the Windows explorer window. Once the file upload is complete it will appear in the <em>My files</em> field. You can add a file or an entire folder, including zip files. For more information about file size limits refer to the section <em>What are the maximum size and types of files that can be uploaded to Mendeley Data?</em> in FAQ <a href="https://data.mendeley.com/faq#mendeley-data-56-dataset-requirements-md"><em>What are the requirements for datasets?</em></a><br /><br />The <em>Institution</em> field is optional. To populate it, enter an institution name.<br /><br />You are required to add at least one category in the <em>Category</em> field before you publish a dataset. To do so, start typing in the <strong>Category</strong> field and then you can select from the list that populates as you type. You are not able to add a custom category so choose one that is closest to describing the category you need.<br /><br /><b><i>Note:</i></b> At this point, after having added data, you have effectively drafted your dataset and it is automatically saved into the system. If necessary, you can stop at this point and return to it later to edit or delete it. Refer to the help article <a href="https://data.mendeley.com/faq#mendeley-data-76-how-to-edit-delete-dataset-md"><em>How do I edit or delete a draft dataset?</em></a>. Otherwise, you can continue completing the information.<br /><br />Optionally, you may add details about how to reproduce the research represented in your dataset by entering these steps in the <em>Steps to reproduce</em> field.<br /><br />You can also add additional metadata by adding details in the <em>Date the data was collected</em> and <em>Nature of the data</em> fields, respectively.<br /><br />The <em>License</em> field defaults to ‘CC BY 4.0’ but you can change that by clicking <strong>Change</strong> and making a selection from the drop-down menu, and then clicking <strong>Change License</strong>. The <em>All</em> tab is displayed by default, but you can further specify the license type to be changed by selecting the <strong>Data</strong>,<strong>Software</strong>, or <strong>Hardware</strong> tab and then selecting the license type and clicking <strong>Change License</strong>.<br /><br />If appropriate you can also add a <em>Related link</em> to your dataset by clicking the <strong>Add a related link</strong> button at the bottom of the page. A dialogue box opens, prompting you to indicate a link type by selecting the <strong>Article</strong>, <strong>Dataset</strong>, or <strong>Software</strong> radio button, entering a <strong>URL</strong> link, and making a selection from the <em>Relationship</em> drop-down menu. You will then click <strong>Add link</strong>. The newly added link appears in the <em>Related Links</em> field near the bottom of the page of your published dataset.<h3 class="mdui-h5">How do I preview a newly drafted dataset?</h3>Once you have entered all the information into your newly created dataset, you may want to see how it will appear. To do so, click <strong>Preview</strong> at the bottom of the page, which will display how it will look once it is published.<h3 class="mdui-h5">What if I want to defer the availability of data to a later date (place a dataset 'under embargo')?</h3>When drafting a dataset, a user may choose to defer the date at which the data becomes available to ensure it is only available at the same time as an associated article, meaning the dataset description and files are not publicly available until that date.<br /><br />To place a dataset under embargo, it must be in the draft state. Click <strong>Set Embargo Date</strong> at the bottom right area of the page. The <em>Set Embargo Date</em> dialogue box opens, prompting you to indicate the time length of the embargo by either selecting <strong>3 months</strong>, <strong>6 months</strong>, or <strong>1 year</strong>; or by setting a date using the calendar feature. Once a selection is made, click <strong>Set Embargo</strong>.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="76-how-to-edit-delete-dataset-md_text" id="76-how-to-edit-delete-dataset-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I edit or delete a dataset?</button><div id="76-how-to-edit-delete-dataset-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>You can edit or delete a dataset only while it is in the <em>Draft</em> state, meaning until the point that you publish it. To do so, you must first locate it. Refer to FAQ <a href="https://data.mendeley.com/faq#mendeley-data-58-draft-vs-published-dataset-md"><em>What is the difference between a “draft” dataset and a “published” dataset?</em></a><br /><br />After logging into Mendeley Data, click the <strong>My Data</strong> tab. You will see a list of datasets. Only datasets that are labeled <em>Draft</em> in the <em>State</em> column can be edited or deleted.<h3 class="mdui-h5">How do I edit a draft dataset?</h3>To edit a draft dataset, click the dataset <strong>Name</strong> to open it and you will now be able to make edits. For more detailed information about the differences between editing draft and published datasets, please refer to FAQ <a href="https://data.mendeley.com/faq#mendeley-data-58-draft-vs-published-dataset-md"><em>What is the difference between a “draft” dataset and a “published” dataset?</em></a>.<h3 class="mdui-h5">How do I delete a draft dataset?</h3>To delete a /<em>draft dataset</em>, open the dataset draft as described above. Then click <strong>Delete</strong> (preceded by trashcan icon). A dialogue box appears, asking you to confirm that you want to delete the dataset. If so, click <strong>Delete</strong>. If you decide not to delete the dataset, click <strong>Cancel</strong> or close the dialogue box by clicking the ‘x’ in the top right corner.<h3 class="mdui-h5">How do I delete a published dataset?</h3>To delete a published dataset, click Delete (trash icon). A dialogue box appears, informing you that it is necessary to contact the support team in order to request the deletion.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="77-publish-draft-dataset-md_text" id="77-publish-draft-dataset-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I publish a draft dataset?</button><div id="77-publish-draft-dataset-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Once you have drafted a dataset and added all the pertinent information, you can publish it by clicking <strong>Publish</strong> at the bottom right section of the page. Notice that beneath the Publish button, you will see an indication of the version you are about to publish. Once you click <strong>Publish</strong> you will be prompted to check several boxes indicating that you understand and agree to the conditions under which the dataset will be published.<br /><br /><b><i>Note:</i></b> Any visitor to a Mendeley Data dataset page can preview files in a published dataset without having to download the files.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="78-create-folders-md_text" id="78-create-folders-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I add, move, or delete folders inside a dataset?</button><div id="78-create-folders-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Folders are a way to group and logically organize the files in your dataset, in the same way that you would organize the files on your computer. You can add a maximum of 200 folders.<h3 class="mdui-h5">How do I add a folder?</h3>From within the dataset, click <strong>New Folder</strong> by the <em>My files</em> field. A new folder will appear inside it.<br /><br />Next, to add a name, to the <em>New folder</em> click the <strong>3 dots</strong> icon in the same row and subsequently click <strong>Rename</strong>. In the dialogue box write the preferred name. To add a description, again, click the <strong>3 dots</strong> icon in the same row and click <strong>Description</strong>. A dialogue box emerges allowing you to edit a description of the folder of up to 3000 characters.<h3 class="mdui-h5">How do I create sub-folders?</h3>To quickly create a sub-folder simply click on an <strong>existing folder</strong> and then click <em>New Folder</em>. A new sub-folder will be created within the selected folder.<br /><br /><b><i>Note:</i></b> You can create sub-folders up to 8 folders deep. You can also move a folder into another folder to make it a sub-folder. You cannot reorder folders, as these will always be sorted alphabetically/numerically.<br /><br />If you need to move one or more folders into another one, then check the box next to each of the folders you wish to move, and then click <strong>Move</strong>. A dialogue box opens prompting you to select the folder you want to move the folders into. Next, click <strong>Move here</strong>. These will now be sub-folders inside the folder into which you moved them.<h3 class="mdui-h5">How do I delete a folder?</h3>To delete a folder, simply check the box next to the desired folder and then click <strong>Delete</strong>. You will not be asked to confirm the deletion so be sure this is what you want to do.</p> </div></div></div></div><div class="question"><button aria-expanded="false" aria-owns="79-move-files-folders-md_text" id="79-move-files-folders-md" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>How do I add or move files and folders to an existing folder in a dataset?</button><div id="79-move-files-folders-md_text" aria-hidden="true" class="rah-static rah-static--height-zero " style="height:0;overflow:hidden"><div><div class="question-text"><p>Similar to adding files and folders to a dataset, you can add files or entire folders directly into an existing folder in your dataset.<h3 class="mdui-h5">What are the options for adding content?</h3>Option A: To <strong>add</strong> content directly into a folder, click on the folder to select it and then. once in it, drag the files onto the drop zone in the <em>My files</em> section, or click <strong>Click here to upload</strong> depending on your browser. The file will be placed directly inside the folder without the need to move it.<br /><br />Option B: After creating a folder, you can move content (files and folders) that are listed in the <em>My files</em> section into it. Check the box next to the item(s) you wish to move and then click <strong>Move</strong>. A dialogue box opens prompting you to select the folder you want to move the content into. Next, click <strong>Move here</strong>. These will now be placed inside the folder into which you moved them.<br /><br /><b><i>Note</i></b>: You can add a zip file. However, its contents cannot be previewed. So, you will have to download the zip file to view its contents. You can also add nested folders, branching up to 14 levels deep, from the default root folder.</p> </div></div></div></div></div><div class="category" id="contact"><h2 class="title mdui-h4">Contact</h2><button aria-controls="80-contact-us_text" aria-expanded="false" type="button" class="mdui-button action category-toggle"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Expand all</button><div class="question"><button aria-expanded="false" aria-owns="80-contact-us_text" id="80-contact-us" type="button" class="mdui-button action"><svg class="mdui-icon collapsed" viewBox="0 0 16 16" height="6" width="6" preserveAspectRatio="none" aria-hidden="true"><polygon points="0,8 16,0 16,16"></polygon></svg>Can’t find an answer to your question?</button><div id="80-contact-us_text" aria-hidden="true" class="rah-static rah-static--height-zero " 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