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Dryad news | The latest from the open data publishing platform & community committed to the open availability and routine re-use of all research data | The latest from the open data publishing platform & community committed to the open availability and routine re-use of all research data
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tag-data-curation tag-data-reuse tag-discoverability"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2025/02/05/for-researchers-upholding-scientific-research-integrity-with-dryad/" rel="bookmark">For researchers: Upholding scientific research integrity with Dryad</a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2025/02/05/for-researchers-upholding-scientific-research-integrity-with-dryad/" title="04:22" rel="bookmark"><time class="entry-date" datetime="2025-02-05T04:22:41-05:00">2025/02/05</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/dryadteam/" title="View all posts by The Dryad Team" rel="author">The Dryad Team</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>Guest post by Dryad Senior Data Curator Molly Hirst A 2017 study revealed that over one-third of researchers surveyed admitted to some level of research misconduct, such as falsifying or omitting data. These alarming findings underscore the systemic challenges researchers … <a href="https://blog.datadryad.org/2025/02/05/for-researchers-upholding-scientific-research-integrity-with-dryad/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p><em>Guest post by Dryad Senior Data Curator Molly Hirst</em> </p> <p><br>A <a href="https://pubmed.ncbi.nlm.nih.gov/29268423/">2017 study</a> revealed that over one-third of researchers surveyed admitted to some level of research misconduct, such as falsifying or omitting data. These alarming findings underscore the systemic challenges researchers face, including intense pressure to publish frequently, a lack of affordable infrastructure for preserving and sharing data, limited support for best practices, and the absence of standardized guidelines. This environment, often referred to as the “publish or perish” culture, can unintentionally foster misconduct and compromise research integrity.</p> <p>Upholding scientific integrity is more crucial than ever, especially in an era of rapid technological advancement. The credibility, reproducibility, and reliability of research hinge on data availability and transparency. By adhering to <a href="https://www.go-fair.org/fair-principles/">FAIR</a> (Findable, Accessible, Interoperable, and Reusable) principles, researchers can address these challenges head-on. Dryad offers a solution for those committed to these principles, providing an open-access platform designed to enhance transparency and foster trust in research.</p> <h2 class="wp-block-heading">Data availability and reusability</h2> <p>Open access to data not only enables verification but also fuels innovation and collaboration. At Dryad, our experienced team of data curators works with researchers to ensure their data and metadata meet rigorous standards and align with FAIR principles. By publishing datasets under a CC0 license waiver, Dryad guarantees unrestricted access to data for reuse by the global research community.</p> <p>One powerful example of the value of Dryad’s open-access approach comes from the field of genomics. An initial dataset containing genomic SNP data of domesticated pigs from around the world was published via Dryad. Later, another research team reused the data to uncover patterns of deliberate introduction of invasive feral pigs across the United States and Canada. This collaboration highlights not only the scientific impact of open data but also the trust and interconnectivity fostered by Dryad’s platform.</p> <p>The original dataset: <a href="https://doi.org/10.5061/dryad.30tk6">https://doi.org/10.5061/dryad.30tk6</a> </p> <p>The new dataset reusing the original: <a href="https://doi.org/10.5061/dryad.b2rbnzsq9">https://doi.org/10.5061/dryad.b2rbnzsq9</a> </p> <h2 class="wp-block-heading">Transparency in research data</h2> <p>Transparency is a cornerstone of scientific integrity. By making it easier to verify and replicate studies, transparency not only prevents misconduct but also builds trust within the research community and with the public. Researchers can foster this trust by prioritizing key elements of transparency in their data practices:</p> <h2 class="wp-block-heading"><em>Clearly documented methods and README</em></h2> <p>A transparent research process begins with a thorough description of the methods used to collect, analyze, and interpret data. Precise documentation ensures that others can replicate the study or build upon its findings. Additionally, defining each aspect of the data files—such as the file names, organization, and the units of measurement for each variable—makes it easier for users to understand, analyze, and reuse the data efficiently.</p> <h2 class="wp-block-heading"><em>Comprehensive data reporting</em></h2> <p>Transparency requires sharing data when possible and providing a complete and accurate account of all elements within those data. Researchers should ensure that all data points are reported on and that any processes involving data manipulation or cleaning are meticulously documented. Dryad facilitates this by encouraging researchers to include detailed <a href="https://blog.datadryad.org/2023/10/18/for-authors-creating-a-readme-for-rapid-data-publication/">README files</a>, which clarify the context and handling of datasets.</p> <h2 class="wp-block-heading"><em>Disclosure of potential conflicts of interest</em></h2> <p>Researchers should fully disclose any conflicts of interest, including funding sources, affiliations, or other factors that might influence their data or findings. This openness is critical for maintaining credibility and objectivity.</p> <h2 class="wp-block-heading"><em>Balancing human and AI-generated data</em></h2> <p>As artificial intelligence becomes increasingly integrated into research, the principles of transparency remain vital. The rise of AI-generated data introduces new challenges, such as ensuring the clarity of data origin, the documentation of algorithms, and ethical considerations around data use.</p> <p>A recent <a href="https://doi.org/10.1038/d41586-023-03316-8">Nature article</a> highlights the enduring importance of transparency: “The principles and guidelines regulating the rise of AI will need to remain grounded in the basics of good science – how data are collected, treated, and used” (<a href="https://doi.org/10.1038/d41586-023-03316-8">Hanson et al., 2023</a>). Researchers can navigate these challenges by adhering to robust data practices and leveraging platforms like Dryad, which support the FAIR principles for both human- and AI-generated datasets.</p> <p>By committing to transparency, researchers not only uphold the integrity of their work but also contribute to a culture of openness and reproducibility, ensuring that science continues to be a reliable and trusted source of knowledge.</p> <h2 class="wp-block-heading"><em>Implementation strategies for transparent research data</em></h2> <ul class="wp-block-list"> <li>Pre-register studies to specify hypotheses, data collection methods, and analysis plans in advance. This helps to prevent data dredging or p-hacking by committing to a predefined research plan.</li> <li>Adopt transparent peer review processes to ensure accountability. For example, Dryad’s “private for peer review” (PPR) feature enables the sharing of data alongside manuscripts under peer review in scientific journals. This fosters an open dialogue between authors, reviewers, editors, and readers, ensuring that the data is scrutinized thoroughly and transparently.</li> </ul> <p>By focusing on these key elements and implementation strategies, researchers can significantly enhance the transparency of their research data through Dryad, contributing to the overall integrity and reliability of scientific research.</p> <h2 class="wp-block-heading">FAIR principles at Dryad</h2> <p>The FAIR principles (Findable, Accessible, Interoperable, Reusable) serve as a framework for managing and sharing research data effectively. At Dryad, we prioritize these principles to ensure that datasets are not only open-access but also optimized for discovery, integration, and reuse.</p> <p><strong>Findability:</strong> Data should be easily located by both humans and machines. This requires robust metadata, descriptive titles, and carefully chosen keywords. Well-annotated datasets increase visibility and help researchers quickly find relevant data for their work. Authors can connect Dryad datasets with related research objects like published articles, data management sharing plans, software code, or supplementary information, allowing users to easily access all components of a research project through a single, citable link, usually via a Digital Object Identifier (DOI). At Dryad, we provide DOIs that are widely indexed in Google Scholar, Google Dataset Search, Scopus, Web of Science, and more, in addition to being fully discoverable on the web.</p> <p><strong>Accessibility:</strong> Clear access procedures and comprehensive metadata are essential for making data reusable. Dryad encourages researchers to provide detailed README files and methods, document software versions, and use open-source tools to ensure datasets remain accessible long-term. All Dryad datasets are downloadable via <a href="http://datadryad.org">datadryad.org</a> and our <a href="https://datadryad.org/stash/api">open API</a>.</p> <p><strong>Interoperability:</strong> Standardized, open-access formats and controlled vocabularies are critical for data integration across systems. Dryad supports the inclusion of data dictionaries and standardized metadata via our submission platform, enabling seamless collaboration and reuse of datasets in diverse research contexts. Dryad adheres to community-accepted standard metadata (DataCite metadata schema) and the use of persistent identifiers.</p> <p><strong>Reusability:</strong> Dryad ensures that datasets are published under a CC0 license waiver, maximizing their potential for reuse without restrictions. Rich metadata helps future researchers understand the data, fostering reproducibility and facilitating discoveries. The README file is one of the most important files in each dataset for Dryad curators and future data users. Our team of experienced data curators meticulously checks each README file to verify that data are accessible, organized, and comprehensively explained to ensure ease of understanding and readiness for re-use.</p> <h2 class="wp-block-heading">Conclusion</h2> <p>Research integrity is the foundation of credible and impactful science. Upholding integrity requires a commitment to transparency, ethical practices, and the adoption of robust frameworks like the FAIR principles. By adhering to FAIR principles, Dryad empowers researchers to contribute data that is not only open-access but also primed for meaningful impact in the scientific community. By leveraging platforms like Dryad for data sharing, researchers can ensure their data is accessible, reusable, and trustworthy, fostering a culture of openness that drives innovation and strengthens the scientific community.</p> <h2 class="wp-block-heading">References</h2> <ul class="wp-block-list"> <li>Thiese MS, Walker S, Lindsey J. (2017) Truths, lies, and statistics. <em>J Thorac Dis.</em> 9(10): 4117-4124. DOI: <a href="https://doi.org/10.21037/jtd.2017.09.24">https://doi.org/10.21037/jtd.2017.09.24</a> </li> <li>Yang, Bin et al. (2018). Data from: Genome-wide SNP data unveils the globalization of domesticated pigs [Dataset]. Dryad. <a href="https://doi.org/10.5061/dryad.30tk6">https://doi.org/10.5061/dryad.30tk6</a></li> <li>Giglio, Rachaewql (2024). Feral Swine Genotypes and Metadata Used for Identifying Translocations in the United States [Dataset]. Dryad. <a href="https://doi.org/10.5061/dryad.b2rbnzsq9">https://doi.org/10.5061/dryad.b2rbnzsq9</a></li> <li>GO FAIR. “FAIR Principles.” <em>GO FAIR</em>,<a href="https://www.go-fair.org/fair-principles/"> https://www.go-fair.org/fair-principles/</a></li> <li>Hanson B, et al. (2023). Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research. <em>Nature</em>. 623: 28-31. DOI: <a href="https://doi.org/10.1038/d41586-023-03316-8">https://doi.org/10.1038/d41586-023-03316-8</a> </li> </ul> <p>###</p> <p class="has-light-gray-background-color has-background"><strong>About the author</strong><br>Molly Hirst holds a Ph.D. in Ecology and Evolutionary Biology from the University of Michigan, where she studied genomics and sperm biology in hybridizing Platyrrhine primates. She gained extensive experience and a passion for curation as a graduate student curatorial assistant for nearly all UM Museum of Zoology and Herbarium divisions. Molly can be found cuddling her cats, reading, traveling the world as a naturalist, gardening, ice skating, and spoiling her nephew.</p> <p>Feedback and questions are always welcome, to <a href="mailto:hello@datadryad.org">hello@datadryad.org</a>. </p> <p>To keep in touch with the latest updates from Dryad, follow us on <a href="https://twitter.com/datadryad">Twitter</a>, <a href="https://www.facebook.com/profile.php?id=100075926210112">Facebook</a>, <a href="https://www.linkedin.com/company/datadryad/">LinkedIn</a>, <a href="https://mstdn.science/@datadryad">Mastodon</a>, and <a href="https://bsky.app/profile/datadryad.bsky.social">Bluesky</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLSfK-N1aGRWu2lvY261nY6mfQBcmBNHj5IENjboOjGTB7SMDUg/viewform?usp=sf_link">subscribe to our quarterly newsletter</a>.</p> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/data-curation-2/" rel="category tag">Data curation</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/data-availability/" rel="tag">Data Availability</a>, <a href="https://blog.datadryad.org/tag/data-curation/" rel="tag">data curation</a>, <a href="https://blog.datadryad.org/tag/data-reuse/" rel="tag">data reuse</a>, <a href="https://blog.datadryad.org/tag/discoverability/" rel="tag">discoverability</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6697 --> <article id="post-6705" class="post-6705 post type-post status-publish format-standard hentry category-governance"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2025/01/31/leadership-news-andrew-beckerman-named-chair-of-the-dryad-board/" rel="bookmark">Leadership news: Andrew Beckerman named Chair of the Dryad Board</a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2025/01/31/leadership-news-andrew-beckerman-named-chair-of-the-dryad-board/" title="07:04" rel="bookmark"><time class="entry-date" datetime="2025-01-31T07:04:38-05:00">2025/01/31</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/gibsonjen75/" title="View all posts by Jennifer Gibson" rel="author">Jennifer Gibson</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>We’re so pleased to announce that Andrew Beckerman has been elected Chair by the Dryad Board of Directors. Andrew is Professor in Evolutionary Ecology and Faculty Director of Education for Science at the University of Sheffield (UK), Co-Editor-in-Chief of the … <a href="https://blog.datadryad.org/2025/01/31/leadership-news-andrew-beckerman-named-chair-of-the-dryad-board/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p>We’re so pleased to announce that Andrew Beckerman has been elected Chair by the Dryad Board of Directors. Andrew is Professor in Evolutionary Ecology and Faculty Director of Education for Science at the University of Sheffield (UK), Co-Editor-in-Chief of the multi-society-sponsored journal <em>Ecology and Evolution</em> (one of our largest contributing journals) </p> <p>As a leader in two of Dryad’s core constituencies – ecology and evolutionary biology and society-sponsored journals, and with two years’ experience on our Board so far, most recently as Vice-chair, Andrew is in an excellent position to help steer Dryad into the new year. </p> <p>Andrew takes over from Jason Williams, Assistant Director, Diversity and Research Readiness at the DNA Learning Center at Cold Spring Harbor Laboratory (USA), who first joined the Dryad in 2020 and served as Board Secretary (2020 to 2022) and Board Chair (2022 to 2024). Jason was a fantastic Chair for Dryad, bringing cohesion to the Board and organizing our first strategy retreat since the pandemic, and ensuring that every member of the Dryad team felt supported personally and professionally during his term – while also helping to position us effectively in a wildly changing context for research data.</p> <p>Andrew adds: “I’m very much looking forward to taking over from Jason. He’s established an atmosphere of inclusivity and effectiveness in equal measure and that’s a wonderful platform to move forward with in supporting the ED and team.”</p> <p>Jason continues on the Board in a second, three-year term to which he was elected in 2023. The current Dryad Board is on our <a href="https://datadryad.org/stash/about#our-board">website</a>.</p> <p>As Chair, Andrew leads the Board and the Executive Committee, which is one of the organization’s most important instruments according to the <a href="https://github.com/datadryad/governance/blob/main/bylaws/Bylaws-2024.pdf">bylaws</a>. Members of the Executive Committee are elected by the Board to serve as officers, including Vice Chair, Secretary and Treasurer. For the current Board term, we are pleased to also announce that Ian Mulvany (BMJ, UK) has agreed to serve as Vice Chair (serving as Treasurer for two years), Mona Ramonetti (Stony Brook University, USA) as Secretary (for a second year), and Bekah Darksmith (Public Library of Science, USA) as Treasurer. </p> <p>We are grateful for the wealth and diversity of knowledge and experience each of our officers – and indeed every member of the Board – brings to their roles. </p> <p>Board Directors join or start their second terms in October of each year, usually following an open call for applications to fill open positions. However in 2024, the lone open seat was filled as Ian Mulvany was elected to start his second term. And, the Board opted not to act to fill the seat left open by Kristi Holmes as she stepped down in late 2024 to take on other obligations. We certainly thank Kristi for her time, dedication and insights while she was with us. The next election is scheduled to take place in 2025 and will be overseen by the <a href="https://datadryad.org/stash/about#our-advisors">Nominations and Elections Advisory Group</a>.</p> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/governance/" rel="category tag">Governance</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6705 --> <article id="post-6479" class="post-6479 post type-post status-publish format-standard has-post-thumbnail hentry category-data-curation-2 tag-data-management tag-data-sharing-2 tag-data-versioning tag-dryad tag-open-data tag-open-science"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2024/07/09/for-authors-keep-your-data-current-with-dryads-data-versioning-feature/" rel="bookmark">For authors: Keep your data current with Dryad’s data versioning feature</a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2024/07/09/for-authors-keep-your-data-current-with-dryads-data-versioning-feature/" title="11:38" rel="bookmark"><time class="entry-date" datetime="2024-07-09T11:38:00-04:00">2024/07/09</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/dryadteam/" title="View all posts by The Dryad Team" rel="author">The Dryad Team</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>Learn when, why, and how to version your dataset on Dryad. <a href="https://blog.datadryad.org/2024/07/09/for-authors-keep-your-data-current-with-dryads-data-versioning-feature/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p><em>Guest post by Dryad curator Molly Hirst</em></p> <p>Have you ever published a manuscript or dataset and later realized something should have been changed or implemented better? We have all been there. While we can’t help you edit your manuscript, the ability to make changes to your published datasets on Dryad is easy and encouraged.</p> <p>Each time you change your published dataset, a new version is created. Dataset versions allow users of the data to see the history of changes made to the dataset, strengthening research integrity and data management practices.</p> <h2 class="wp-block-heading">When to version a dataset</h2> <p>After your dataset has been curated and published on Dryad, you can make changes to the published dataset. Changes that result in a new dataset version might include but are not limited to: </p> <ul class="wp-block-list"> <li>corrections to your data, </li> <li>the inclusion of additional data, </li> <li>or adding output from new analyses. </li> </ul> <p>Minor changes to the metadata, such as adding the DOI of an associated manuscript, will not create a new version of the dataset. <strong>Whether you’re updating your dataset or the metadata, the Dryad DOI will remain the same.</strong></p> <p>Maintaining versions of datasets and properly documenting the historical differences between versions ensures the integrity of data hosted on Dryad. As such, it’s important for authors to also update their README to detail any changes they made while creating a new version of their dataset. Updating your README to include this information is <a href="https://doi.org/10.5334/dsj-2021-012">vital for transparency and reproducibility</a> and will ensure that your data can be understood by a diverse audience well into the future.</p> <h2 class="wp-block-heading">Why versioning is important</h2> <p>Versioning is crucial for proper data management. First, it ensures reproducibility and transparency in research by documenting all changes to the data, thus maintaining trust in the scientific process. This comprehensive documentation allows other researchers to accurately understand and replicate studies. Secondly, compliance with funders and publishers is greatly facilitated by versioning. Many funding bodies and publishers mandate that data be regularly updated and made accessible, and versioning helps meet these requirements by enabling efficient data sharing and preservation. Lastly, versioning enhances the discoverability and citability of datasets. By assigning a unique, permanent DOI to each dataset, regardless of its version, both current and previous versions remain accessible and are linked to a single DOI. This ensures that data remains discoverable and usable over time, making it easier for researchers to locate and cite the datasets they need.</p> <h2 class="wp-block-heading">How to version a dataset in Dryad</h2> <p>To create a new version of your dataset at Dryad, follow these simple steps:</p> <ol class="wp-block-list"> <li>Login to your Dryad dashboard. </li> <li>On the “My datasets” page, find the dataset you need to version and click “create new version”. </li> <li>Make your changes, submit, and voilà! </li> </ol> <p>Our curation team will begin evaluating the versioned dataset as soon as possible, and pending any questions or requests from our team, the new version will be made publicly available for download through the “Download dataset” button. Previous versions can still be accessed in the “Data files” section, which is sorted by publication date. To ensure that users can easily identify differences between versions, it’s essential that the README file is updated to detail the modifications made since the previously published version.</p> <h2 class="wp-block-heading">Best practices for data versioning</h2> <p>In addition to following our <a href="https://datadryad.org/stash/best_practices">best data practices</a>, here are some important notes to keep in mind while versioning your dataset: </p> <h3 class="wp-block-heading">1. Document the Changes</h3> <p>It is vital to keep detailed logs of changes made between versions, to allow users to choose the version that best suits their needs, and allow future users of your data to quickly understand what has changed. This is especially important if there are errors–such as miscalculations–in previous versions.</p> <p>We recommend maintaining clear and descriptive change logs in your README file, with the date listed for each version change. Here’s an excellent example of a Dryad dataset with a version change log in the README: <a href="https://doi.org/10.5061/dryad.2z34tmptf">https://doi.org/10.5061/dryad.2z34tmptf</a></p> <h3 class="wp-block-heading">2. Use Standard Formats</h3> <p>If you’re adding new data files, it’s important to ensure that the file formats are standard, common, and non-proprietary (e.g., CSV, tiff, etc.), and can be opened with free, open-source software. This practice helps ensure long-term accessibility and interoperability of the data hosted on Dryad.</p> <h3 class="wp-block-heading">3. Community Engagement</h3> <p>By encouraging feedback from the research community, you can help to improve your data quality and relevance. For example, you can ask a colleague or peer who may not be familiar with your data to take a look at your published dataset, and see if it makes sense to them!</p> <h2 class="wp-block-heading">Conclusion</h2> <p>Researchers are continually refining, updating, and building upon their work – this is the goal of research at its core. Versioning datasets, and including an adequate change log, is a way to capture this continual learning process and allow for better collaboration throughout the research community. Taking the time to update your data and its associated metadata enhances the usability, reliability, and impact of your research. Dryad’s dataset versioning feature is easy to use and enables you to adopt best practices for reproducibility and transparency in your research. </p> <h2 class="wp-block-heading">Have questions? </h2> <p>We’re here to help! Click <a href="mailto:help@datadryad.org">here</a> to get in touch with our Helpdesk.</p> <p class="has-light-gray-background-color has-background"><strong>About the author</strong><br>Molly Hirst holds a Ph.D. in Ecology and Evolutionary Biology from the University of Michigan, where she studied genomics and sperm biology in hybridizing Platyrrhine primates. She gained extensive experience and a passion for curation as a graduate student curatorial assistant for nearly all UM Museum of Zoology and Herbarium divisions. Molly can be found cuddling her cats, reading, traveling the world as a naturalist, gardening, ice skating, and spoiling her nephew.</p> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-background" style="background-color:#e4f1f7">Feedback and questions are always welcome, to <a href="mailto:hello@datadryad.org">hello@datadryad.org</a>. <br><br>To keep in touch with the latest updates from Dryad, follow us on <a href="https://twitter.com/datadryad">Twitter</a>, <a href="https://www.facebook.com/profile.php?id=100075926210112">Facebook</a>, <a href="https://www.linkedin.com/company/datadryad/">LinkedIn</a>, <a href="https://mstdn.science/@datadryad">Mastodon</a>, and <a href="https://bsky.app/profile/datadryad.bsky.social">Bluesky</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLSfK-N1aGRWu2lvY261nY6mfQBcmBNHj5IENjboOjGTB7SMDUg/viewform?usp=sf_link">subscribe to our quarterly newsletter</a>.</p> </div></div> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/data-curation-2/" rel="category tag">Data curation</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/data-management/" rel="tag">Data Management</a>, <a href="https://blog.datadryad.org/tag/data-sharing-2/" rel="tag">data sharing</a>, <a href="https://blog.datadryad.org/tag/data-versioning/" rel="tag">data versioning</a>, <a href="https://blog.datadryad.org/tag/dryad/" rel="tag">Dryad</a>, <a href="https://blog.datadryad.org/tag/open-data/" rel="tag">open data</a>, <a href="https://blog.datadryad.org/tag/open-science/" rel="tag">Open Science</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6479 --> <article id="post-6439" class="post-6439 post type-post status-publish format-standard has-post-thumbnail hentry category-quarterly-update tag-dryad tag-open-data tag-open-science"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2024/06/18/dryad-community-update-june-2024-highlights/" rel="bookmark">Dryad community update: June 2024 Highlights</a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2024/06/18/dryad-community-update-june-2024-highlights/" title="09:48" rel="bookmark"><time class="entry-date" datetime="2024-06-18T09:48:44-04:00">2024/06/18</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/dryadteam/" title="View all posts by The Dryad Team" rel="author">The Dryad Team</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>Insights on AI-ready data, our annual achievements, and more news from Dryad. <a href="https://blog.datadryad.org/2024/06/18/dryad-community-update-june-2024-highlights/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p>Welcome to your source of updates, resources, and guidance on data policies and compliance, Dryad product developments and events, and more.</p> <h2 class="wp-block-heading" id="june2024-1">New at Dryad: What is AI-ready data?</h2> <p>What if answers to the world’s most pressing questions and challenges lie in data we already have? What could researchers achieve if they could mine vast troves of existing data for new purposes and at an unprecedented scale? Artificial intelligence (AI) technologies offer exciting possibilities that require AI-ready data to succeed.</p> <p><a href="https://blog.datadryad.org/?p=6422">Learn how Dryad makes data AI-ready</a></p> <h2 class="wp-block-heading" id="june2024-2">In the community: Dryad featured in Invest in Open Infrastructure’s State of OI report</h2> <p>The story of the successful conclusion of the Dryad-CDL partnership was featured in the “graceful transitions” section of a high-profile publication from Invest in Open Infrastructure.</p> <p><a href="https://investinopen.org/state-of-open-infrastructure-2024/sooi-adoption-2024/#graceful-transitions">Read the profile</a></p> <h2 class="wp-block-heading" id="june2024-3">Year in review: Dryad’s annual report now available</h2> <p>Catch up on our accomplishments in our official annual report from fiscal year 2024. You’ll find data highlights, a review of how much data we published and where it came from, and reflections from our Executive Director and Board Chair on a year of change.</p> <p><a href="https://github.com/datadryad/governance/blob/main/annual-reports/FY23%20Dryad%20Annual%20report.pdf">Read our annual report</a></p> <h2 class="wp-block-heading" id="june2024-4"><strong>New at Dryad: Empowering reuse of cognitive neuroscience data </strong></h2> <p>Dryad is making it easier to find and reuse data by collecting and sharing discipline-specific metadata. We’ve rolled out an optional metadata template for researchers in cognitive neuroscience to provide enhanced information about their methods, variables, experimental design, and more, when they submit data.</p> <p><a href="https://blog.datadryad.org/2024/04/09/new-at-dryad-empowering-reuse-of-cognitive-neuroscience-data/">Read more about our disciplinary metadata pilot</a></p> <h2 class="wp-block-heading" id="june2024-5">In the community: A report from the future of data management</h2> <p>Go back to the future with this recording from the STM Association annual meeting, where Jen Gibson shares her vision of what’s to come in data management.</p> <p><a href="https://www.youtube.com/watch?si=8sT0pDXkoLENTVx7&v=X6rhKkAlIDo&feature=youtu.be">Watch the recording</a></p> <h2 class="wp-block-heading" id="june2024-6">Partnerships: Dryad and the Generalist Repository Ecosystem Initiative (GREI)</h2> <p>Funded by the National Institutes of Health (NIH) to enhance data sharing options for biomedical researchers, GREI is kicking off its third year by reflecting on its achievements so far, including beginning implementation of consistent metadata standards across repositories, publishing a catalog of use cases for data sharing and discovery, and establishing standardized metrics for tracking data usage and citations.</p> <p><a href="https://medium.com/@blog-grei/kicking-off-greis-third-year-b8709ab45a48">Learn more about GREI</a></p> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/quarterly-update/" rel="category tag">Quarterly update</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/dryad/" rel="tag">Dryad</a>, <a href="https://blog.datadryad.org/tag/open-data/" rel="tag">open data</a>, <a href="https://blog.datadryad.org/tag/open-science/" rel="tag">Open Science</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6439 --> <article id="post-6422" class="post-6422 post type-post status-publish format-standard has-post-thumbnail hentry category-data-curation-2 category-data-reuse tag-ai tag-dryad tag-fair-data tag-llms tag-open-data tag-open-science"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2024/06/10/new-at-dryad-what-does-it-mean-to-make-data-ai-ready/" rel="bookmark">New at Dryad: What does it mean to make data AI-ready?</a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2024/06/10/new-at-dryad-what-does-it-mean-to-make-data-ai-ready/" title="10:12" rel="bookmark"><time class="entry-date" datetime="2024-06-10T10:12:00-04:00">2024/06/10</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/sarahatdryad/" title="View all posts by Sarah Lippincott" rel="author">Sarah Lippincott</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>What if answers to the world’s most pressing questions and challenges lie in data we already have? What could researchers achieve if they could mine vast troves of existing data for new purposes and at an unprecedented scale? Artificial intelligence … <a href="https://blog.datadryad.org/2024/06/10/new-at-dryad-what-does-it-mean-to-make-data-ai-ready/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p>What if answers to the world’s most pressing questions and challenges lie in data we already have? What could researchers achieve if they could mine vast troves of existing data for new purposes and at an unprecedented scale? Artificial intelligence (AI) technologies offer exciting possibilities that require AI-ready data to succeed.</p> <h2 class="wp-block-heading">AI-assisted scientific discovery requires AI-ready data</h2> <p>AI opens up promising new opportunities for scientific discovery when applied to research data. Unsupervised learning and natural language processing (NLP) can assist researchers in discovering and analyzing massive datasets that are cumbersome to work with using traditional methods. AI models can be trained to extract insights, reveal new patterns, and even generate “digitally accurate, interpretable and reproducible <a href="https://www.nature.com/articles/s41597-021-01109-0">description[s] of natural phenomena</a>.” Researchers can also feed data into AI models for the purposes of improving them with real-world experimental data.</p> <p>However, most labs cannot, on their own, generate the volume of training data required to deploy these models with the best results. And much of the data they can aggregate from public sources lacks the machine-readable metadata, clear file structures, and robust documentation <a href="https://www.nature.com/articles/s41597-021-01109-0">needed for effective reuse</a>. The lack of appropriate data for machine input <a href="https://royalsociety.org/news-resources/projects/science-in-the-age-of-ai/">creates a bottleneck for researchers</a> and limits the potential to apply AI to scientific research questions. </p> <blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow"> <p><strong>“Effective and trustworthy data-driven science requires the use of data at scale and a transition from … silo-based approaches … towards more networked scholarship. However, the vast majority of public domain data … is still not reusable … mainly because the data are poorly described for third-party use.” (</strong><a href="https://doi.org/10.1142/9789811265679_0033"><strong>Sansone et al., 2023</strong></a><strong>)</strong></p> </blockquote> <h2 class="wp-block-heading">Dryad makes data AI-ready through curation and connections</h2> <p>Enter open, <strong>curated</strong> research data. AI-ready data refers to data that is organized, evaluated by Dryad data curators, and prepared in a way that makes it easy for researchers to utilize it for AI modeling. Dryad provides a large corpus of this kind of well-structured, well-documented data. This data can be combined with datasets from specialist repositories and a researcher’s own data to create comprehensive datasets that fuel AI-driven research. Accessing the wide range of datasets from a “generalist” platform like Dryad, and potentially combining it from data sourced elsewhere facilitates the <a href="https://royalsociety.org/news-resources/projects/science-in-the-age-of-ai/">integration of knowledge</a> “from various fields and knowledge systems” that can lead to “more accurate models and foster curiosity-driven research.” Dryad is also an invaluable resource for researchers who <a href="https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2023.1086802/full">lack access to expensive equipment</a>, distant or off-limits field sites, or face other barriers to collecting the data they need themselves.</p> <p>How do we make our data AI-ready? Adhering to <a href="https://www.go-fair.org/fair-principles/">FAIR principles</a> means ensuring that datasets are well-organized, properly documented, and easily accessible for machine harvesting and analysis. Dryad empowers FAIR through <strong>data curation</strong> and <strong>data connections</strong>. </p> <p><a href="https://datadryad.org/stash/process#dataset-curation"><strong>Data curation</strong></a> by our team of reliable curators verifies that data files are accessible and usable, enhances metadata quality and completeness, and offers guidance for authors on recommended data-sharing practices. It also helps ensure that data are appropriate for sharing and do not contain personally identifiable, sensitive, or copyrighted information.</p> <p>We create <strong>data connections</strong> by <a href="https://blog.datadryad.org/2023/10/26/for-authors-what-are-pids-and-how-do-they-amplify-your-datas-impact/">maximizing the use of persistent identifiers</a> and linking to other research outputs to build robust, machine-readable linkages between data and its creators, funders, and associated outputs. </p> <h2 class="wp-block-heading">What will you do with Dryad data?</h2> <p>With over 60,000 datasets covering a wide range of research areas, and <a href="https://blog.datadryad.org/2023/05/30/good-data-practices-removing-barriers-to-data-reuse-with-cc0-licensing/">licensed for reuse</a>, Dryad offers a trove of information for researchers exploring a variety of domains and methods. Information may be accessed through our website or via a <a href="https://datadryad.org/stash/api">convenient API</a>. Examples include:</p> <ul class="wp-block-list"> <li>DNA and RNA sequences from various organisms can be used for <strong>sequence analysis and classification</strong> tasks.</li> <li>High-throughput gene expression datasets from microarray or RNA sequencing experiments are suitable for <strong>gene expression profiling</strong> and predictive modeling.</li> <li>Datasets representing interactions between proteins are useful for <strong>network analysis</strong> and prediction of protein functions.</li> <li>Datasets containing survey responses from human subjects on various topics are suitable for predictive modeling and <strong>analysis of social trends</strong>.</li> <li>Collections of textual data, such as articles, books, or social media posts, can be used for <strong>natural language processing</strong> tasks such as sentiment analysis, topic modeling, and text classification.</li> <li>Datasets containing measurements of atmospheric variables, climate model outputs, and weather forecasts are suitable for climate <strong>modeling and prediction</strong> tasks.</li> <li>Time-series data from sensors measuring physical quantities such as temperature, pressure, and humidity can be applied to predictive maintenance, <strong>anomaly detection, and forecasting </strong>applications.</li> <li>Datasets containing information about patient demographics, treatments, and outcomes are useful for clinical prediction modeling and <strong>personalized medicine</strong>.</li> <li>Datasets comprising medical images such as MRI, CT, and histopathology images are suitable for <strong>image classification</strong>, segmentation, and diagnosis tasks.</li> </ul> <p>Dryad’s straightforward submission form and thorough curation process make it easy for researchers to make their data AI-ready. In addition, researchers can <a href="https://doi.org/10.6084/m9.figshare.19983722.v1">take data preparation steps</a> to make their datasets more suitable for AI applications, such as:</p> <ul class="wp-block-list"> <li>explaining or filling in null values and gaps,</li> <li>removing or tagging outliers,</li> <li>building a comprehensive data dictionary or codebook, </li> <li>documenting data processing steps, and</li> <li>publishing data in a machine-readable file format.</li> </ul> <p>Are you a researcher using AI to accelerate discoveries? <a href="https://datadryad.org/stash/feedback?m=4&l=contact">Join our user group</a> to help us make Dryad work better for you, or reach out to learn more about our plans to increase AI-readiness.</p> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-background" style="background-color:#e4f1f7">Feedback and questions are always welcome, to <a href="mailto:hello@datadryad.org">hello@datadryad.org</a>. <br><br>To keep in touch with the latest updates from Dryad, follow us on <a href="https://twitter.com/datadryad">Twitter</a>, <a href="https://www.facebook.com/profile.php?id=100075926210112">Facebook</a>, <a href="https://www.linkedin.com/company/datadryad/">LinkedIn</a>, <a href="https://mstdn.science/@datadryad">Mastodon</a>, and <a href="https://bsky.app/profile/datadryad.bsky.social">Bluesky</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLSfK-N1aGRWu2lvY261nY6mfQBcmBNHj5IENjboOjGTB7SMDUg/viewform?usp=sf_link">subscribe to our quarterly newsletter</a>.</p> </div></div> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/data-curation-2/" rel="category tag">Data curation</a>, <a href="https://blog.datadryad.org/category/data-reuse/" rel="category tag">Data reuse</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/ai/" rel="tag">AI</a>, <a href="https://blog.datadryad.org/tag/dryad/" rel="tag">Dryad</a>, <a href="https://blog.datadryad.org/tag/fair-data/" rel="tag">FAIR Data</a>, <a href="https://blog.datadryad.org/tag/llms/" rel="tag">LLMs</a>, <a href="https://blog.datadryad.org/tag/open-data/" rel="tag">open data</a>, <a href="https://blog.datadryad.org/tag/open-science/" rel="tag">Open Science</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6422 --> <article id="post-6345" class="post-6345 post type-post status-publish format-standard has-post-thumbnail hentry category-data-reuse category-discoverability category-new-features tag-cognitive-neuroscience tag-dryad tag-open-data tag-reproducibility"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2024/04/09/new-at-dryad-empowering-reuse-of-cognitive-neuroscience-data/" rel="bookmark">New at Dryad: Empowering reuse of cognitive neuroscience data </a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2024/04/09/new-at-dryad-empowering-reuse-of-cognitive-neuroscience-data/" title="11:00" rel="bookmark"><time class="entry-date" datetime="2024-04-09T11:00:00-04:00">2024/04/09</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/sarahatdryad/" title="View all posts by Sarah Lippincott" rel="author">Sarah Lippincott</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>Dryad is making it easier to find and reuse data by collecting and sharing discipline-specific metadata. We’ve rolled out an optional metadata template for researchers to provide additional, enhanced information about their methods, variables, experimental design, and more, when they … <a href="https://blog.datadryad.org/2024/04/09/new-at-dryad-empowering-reuse-of-cognitive-neuroscience-data/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p>Dryad is making it easier to find and reuse data by collecting and sharing discipline-specific metadata. We’ve rolled out an optional metadata template for researchers to provide additional, enhanced information about their methods, variables, experimental design, and more, when they submit a dataset.</p> <p>Our new template, embedded in our online submission form, prompts cognitive neuroscience researchers to provide richer information about the dataset, the experimental setup, and the analysis process that lead to its production, including key elements like data modality, data acquisition technique, experimental paradigm, state of preprocessing, and demographic/medical attributes.</p> <h2 class="wp-block-heading">Enriched metadata for cognitive neuroscience data</h2> <p>Our default metadata schema (<a href="http://schema.datacite.org/">maintained by DataCite</a>) supports accurate and consistent identification of datasets that aids discovery and reuse across disciplines, and makes Dryad data visible in a range of data catalogs and discovery services. Complementing this fundamental information about a dataset with a set of metadata elements that are meaningful to a specific community can help translate discovery into reproducibility.</p> <p>Cognitive neuroscience research often involves the integration of data from various sources and disciplines. Standardized metadata schemas and controlled vocabularies make it possible for humans and machines to <a href="https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2023.1086802/full">successfully interpret and responsibly reuse</a> complex neuroscience datasets in a range of ways, and for purposes well beyond those of the original authors. These granular metadata can also make it easier for researchers to search for and identify datasets relevant to the specific methods, populations, or variables of interest.</p> <h2 class="wp-block-heading">Bridging the gap between generalist and specialist data infrastructure</h2> <p>Collecting discipline-specific metadata also helps us build bridges between generalist and specialist data platforms. Dryad provides essential infrastructure for data generated through emerging methods or in nascent subdomains, which lack their own specialist data platforms. Providing the kind of rich, discipline-specific metadata that specialist repositories require readies Dryad data to be combined with datasets hosted elsewhere, interpreted by specialists, or even added to specialist repositories when appropriate.</p> <p>Adding machine-actionable, discipline-specific metadata will help improve interoperability with disciplinary repositories and meet the information needs of neuroscience researchers. With just a few lines of code, researchers can parse these metadata files and create a reproducible pipeline to filter datasets of interest to a specific research question. When thoughtfully deployed, such a “template encapsulates in <a href="https://doi.org/10.1038/s41597-022-01815-3">a single, machine-readable place</a> everything that a third party—or a computer—needs in order to interpret what has been done and whether the data are reusable in a given context.”</p> <h2 class="wp-block-heading">How it works</h2> <p>When researchers start a Dryad data submission and enter keywords related to cognitive neuroscience, they will automatically be prompted to complete additional, optional metadata fields. This information will be captured as a downloadable JSON file included alongside the data (as <a href="https://datadryad.org/stash/dataset/doi:10.5061/dryad.b2rbnzsh9">in this example</a>).</p> <figure class="wp-block-image"><img data-recalc-dims="1" fetchpriority="high" decoding="async" width="584" height="137" data-attachment-id="6350" data-permalink="https://blog.datadryad.org/2024/04/09/new-at-dryad-empowering-reuse-of-cognitive-neuroscience-data/image-12/" data-orig-file="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?fit=1600%2C374&ssl=1" data-orig-size="1600,374" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="image" data-image-description="" data-image-caption="" data-medium-file="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?fit=300%2C70&ssl=1" data-large-file="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?fit=584%2C136&ssl=1" src="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?resize=584%2C137&ssl=1" alt="" class="wp-image-6350" srcset="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?w=1600&ssl=1 1600w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?resize=300%2C70&ssl=1 300w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?resize=1024%2C239&ssl=1 1024w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?resize=768%2C180&ssl=1 768w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?resize=1536%2C359&ssl=1 1536w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?resize=1200%2C281&ssl=1 1200w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/image.png?resize=500%2C117&ssl=1 500w" sizes="(max-width: 584px) 100vw, 584px" /><figcaption class="wp-element-caption"><em>Screenshot of the Dryad submission system, showing the stage where researchers can provide optional discipline-specific metadata for human cognitive neuroscience data.</em></figcaption></figure> <p>Metadata collection is powered by the <a href="https://more.metadatacenter.org/tools-training/cedar-template-tools">CEDAR Embeddable Editor</a>, a tool that helps communities create metadata templates that reflect best practices in their fields. We expect this to be the first of many CEDAR community templates that we support at Dryad.</p> <h2 class="wp-block-heading">Could your research community be next?</h2> <p>Enriched metadata holds the potential to advance interdisciplinary research and accelerate scientific discoveries. Does your researcher community have a broadly accepted metadata schema? Would researchers in your field benefit from access to more granular metadata for discovering, retrieving, and reusing data? <a href="mailto:hello@datadryad.org">Get in touch</a> to start a conversation about implementing a metadata template for your community. </p> <h2 class="wp-block-heading">About this project</h2> <p>This feature is powered by the <a href="https://more.metadatacenter.org/tools-training/cedar-template-tools">CEDAR Embeddable Editor</a>. <a href="https://github.com/CDL-Dryad/dryad-app/blob/main/documentation/external_services/cEdar_embeddable_editor.md">Technical documentation</a> can be found on GitHub. The metadata template was developed by the research team at the <a href="https://www.aesthetics.mpg.de/en.html">Max Planck Institute of Empirical Aesthetics</a> in collaboration with <a href="https://datacite.org/">DataCite</a>, as part of the <a href="https://doi.org/10.54224/20568">Implementing FAIR Workflows Project</a> (TWCF0568), funded by the <a href="https://www.templetonworldcharity.org/">Templeton World Charity Foundation</a>. Initial work for this project work was funded by the <a href="https://ror.org/021nxhr62" target="_blank" rel="noreferrer noopener">U.S. National Science Foundation</a>, award <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2134956" target="_blank" rel="noreferrer noopener">2134956</a>. Questions or comments about the metadata template can be directed to <a href="mailto:zefan.zheng@ae.mpg.de">Zefan Zheng</a>. </p> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-background" style="background-color:#e4f1f7">Feedback and questions are always welcome, to <a href="mailto:hello@datadryad.org">hello@datadryad.org</a>. <br><br>To keep in touch with the latest updates from Dryad, follow us on <a href="https://twitter.com/datadryad">Twitter</a>, <a href="https://www.facebook.com/profile.php?id=100075926210112">Facebook</a>, <a href="https://www.linkedin.com/company/datadryad/">LinkedIn</a>, <a href="https://mstdn.science/@datadryad">Mastodon</a>, and <a href="https://bsky.app/profile/datadryad.bsky.social">Bluesky</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLSfK-N1aGRWu2lvY261nY6mfQBcmBNHj5IENjboOjGTB7SMDUg/viewform?usp=sf_link">subscribe to our quarterly newsletter</a>.</p> </div></div> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/data-reuse/" rel="category tag">Data reuse</a>, <a href="https://blog.datadryad.org/category/discoverability/" rel="category tag">Discoverability</a>, <a href="https://blog.datadryad.org/category/new-features/" rel="category tag">New features</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/cognitive-neuroscience/" rel="tag">cognitive neuroscience</a>, <a href="https://blog.datadryad.org/tag/dryad/" rel="tag">Dryad</a>, <a href="https://blog.datadryad.org/tag/open-data/" rel="tag">open data</a>, <a href="https://blog.datadryad.org/tag/reproducibility/" rel="tag">reproducibility</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6345 --> <article id="post-6358" class="post-6358 post type-post status-publish format-standard has-post-thumbnail hentry category-quarterly-update tag-data-management tag-data-reuse tag-data-sharing-2 tag-dryad tag-open-data"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2024/04/09/quarterly-roundup-your-april-2023-news-from-dryad/" rel="bookmark">Quarterly roundup: Your April 2023 news from Dryad </a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2024/04/09/quarterly-roundup-your-april-2023-news-from-dryad/" title="10:00" rel="bookmark"><time class="entry-date" datetime="2024-04-09T10:00:00-04:00">2024/04/09</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/dryadteam/" title="View all posts by The Dryad Team" rel="author">The Dryad Team</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>Tips for authors, new Dryad members, and highlights from our collection of reusable open data. <a href="https://blog.datadryad.org/2024/04/09/quarterly-roundup-your-april-2023-news-from-dryad/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p>Welcome to your source of updates, resources, and guidance on data policies and compliance, Dryad product developments and events, and more. To get our latest news delivered straight to your inbox, <a href="https://blog.datadryad.org/about/subscribe/">join our mailing list</a>. </p> <h1 class="wp-block-heading">For researchers: Preparing your data for submission</h1> <p>Are you preparing your data for submission to a repository or a journal? This DataWorks! Salon hosted by FASEB features Dryad data curator Laura Bowman on best practices for preparing datasets and how to make them accessible to facilitate reuse. Topics discussed in the recording include data documentation, creating ReadMe files, metadata, data standards, and data accessibility. <br><br><a href="https://www.youtube.com/watch?v=pv6lDmZP1CU" target="_blank" rel="noreferrer noopener">Watch the recording</a></p> <h1 class="wp-block-heading">Leaders in open data: Welcoming four new Dryad members</h1> <p>Our Dryad member community is expanding with the recent addition of three academic institutions and one publishing organization. The new members include Temple University, University of Arkansas, University of Oklahoma, and the Federation of American Societies for Experimental Biology (FASEB). </p> <p><a href="https://blog.datadryad.org/2024/03/19/leaders-in-open-data-welcoming-four-new-dryad-members/" target="_blank" rel="noreferrer noopener">Read more about our growing membership program</a></p> <h1 class="wp-block-heading">Community partnerships: Dryad endorses Open Climate Campaign</h1> <figure class="wp-block-image size-full is-resized"><a href="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?ssl=1"><img data-recalc-dims="1" decoding="async" width="584" height="330" data-attachment-id="6361" data-permalink="https://blog.datadryad.org/2024/04/09/quarterly-roundup-your-april-2023-news-from-dryad/fbbjoybwqaaisgl/" data-orig-file="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?fit=1200%2C678&ssl=1" data-orig-size="1200,678" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="FbbJoybWQAAISgL" data-image-description="" data-image-caption="" data-medium-file="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?fit=300%2C170&ssl=1" data-large-file="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?fit=584%2C330&ssl=1" src="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?resize=584%2C330&ssl=1" alt="Open Climate Campaign logo" class="wp-image-6361" style="width:300px" srcset="https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?w=1200&ssl=1 1200w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?resize=300%2C170&ssl=1 300w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?resize=1024%2C579&ssl=1 1024w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?resize=768%2C434&ssl=1 768w, https://i0.wp.com/blog.datadryad.org/wp-content/uploads/2024/04/FbbJoybWQAAISgL.png?resize=500%2C283&ssl=1 500w" sizes="(max-width: 584px) 100vw, 584px" /></a></figure> <p>Dryad is pleased to endorse the <a href="https://openclimatecampaign.org/" target="_blank" rel="noreferrer noopener">Open Climate Campaign</a> a 4-year initiative launched by Creative Commons, SPARC and EIFL to make open sharing of research outputs the norm in climate science.<br><br><a href="https://creativecommons.org/2022/08/30/cc-partners-with-sparc-and-eifl-to-launch-a-4-year-open-climate-campaign/" target="_blank" rel="noreferrer noopener">Learn more about the Open Climate Campaign</a></p> <h1 class="wp-block-heading">Webinar recording: Why we all need good funding metadata</h1> <p>Learn about how and why Dryad incorporates funding metadata using the Research Organization Registry (ROR) in this event recording.<br><br><a href="https://blog.datadryad.org/2024/02/29/dryad-in-the-community-why-we-all-need-good-funding-metadata/" target="_blank" rel="noreferrer noopener">Watch the recording</a></p> <h1 class="wp-block-heading">Data highlights: Open Data Digest special editions</h1> <p><strong>International Year of the Camelid</strong></p> <p>In honor of 2024 being proclaimed the Year of Camelids, this month we highlight a selection of datasets from recent years that share a focus on the biology of camelids and their close association with humans. Guest edited by Dr. Todd Vision, University of North Carolina at Chapel Hill.</p> <p><a href="https://blog.datadryad.org/2024/01/18/open-data-digest-january-2023/" target="_blank" rel="noreferrer noopener">Read the January Open Data Digest</a></p> <p><strong>Sleep Awareness Month</strong></p> <p>For Sleep Awareness Month, we rounded up reusable data about sleep from across the animal world.</p> <p><a href="https://blog.datadryad.org/2024/03/29/open-data-digest-march-2024/" target="_blank" rel="noreferrer noopener">Read the March Open Data Digest</a></p> <h1 class="wp-block-heading">From the community: Curator kudos</h1> <p>Our curators work hard behind the scenes to help make Dryad data <a href="https://www.go-fair.org/fair-principles/" target="_blank" rel="noreferrer noopener">FAIR</a> and support our authors in the data publication process. Here are a few notes of appreciation they’ve received lately from our community.</p> <blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow"> <p>“I hope I can take this opportunity to thank you for your service to the field in making data open and available – it’s an important endeavor catalyzing discovery.”</p> <p>“Thanks so much for your help. It is great to get to talk to an actual knowledgeable human about these issues instead of trying to find the answers to our questions on the internet. Much appreciated!”</p> <p>“Thank you for your patience and for helping improve the accessibility of the data!”</p> <p>“I am writing to express my sincere gratitude for the assistance you provided me with recently. Your prompt and helpful response to my inquiry was truly appreciated. The support and guidance I received from the Dryad Helpdesk team have been invaluable in resolving my issue.”</p> </blockquote> <h1 class="wp-block-heading">Tips for data creators</h1> <p>Guidance and resources that help researchers make the most of their data.</p> <ul class="wp-block-list"> <li><a href="https://blog.datadryad.org/2023/10/18/for-authors-creating-a-readme-for-rapid-data-publication/" target="_blank" rel="noreferrer noopener">Creating a README for rapid data publication</a></li> <li><a href="https://blog.datadryad.org/2023/07/13/for-researchers-including-dryad-in-your-data-management-plan/" target="_blank" rel="noreferrer noopener">Including Dryad in your data management plan</a></li> <li><a href="https://blog.datadryad.org/2023/09/22/for-data-creators-top-5-reasons-we-cant-publish-your-dataset-yet/" target="_blank" rel="noreferrer noopener">For data creators: Top 5 reasons we can’t publish your dataset (yet)</a></li> </ul> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-background" style="background-color:#e4f1f7">Feedback and questions are always welcome, to <a href="mailto:hello@datadryad.org">hello@datadryad.org</a>. <br><br>To keep in touch with the latest updates from Dryad, follow us on <a href="https://twitter.com/datadryad">Twitter</a>, <a href="https://www.facebook.com/profile.php?id=100075926210112">Facebook</a>, <a href="https://www.linkedin.com/company/datadryad/">LinkedIn</a>, <a href="https://mstdn.science/@datadryad">Mastodon</a>, and <a href="https://bsky.app/profile/datadryad.bsky.social">Bluesky</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLSfK-N1aGRWu2lvY261nY6mfQBcmBNHj5IENjboOjGTB7SMDUg/viewform?usp=sf_link">subscribe to our quarterly newsletter</a>.</p> </div></div> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/quarterly-update/" rel="category tag">Quarterly update</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/data-management/" rel="tag">Data Management</a>, <a href="https://blog.datadryad.org/tag/data-reuse/" rel="tag">data reuse</a>, <a href="https://blog.datadryad.org/tag/data-sharing-2/" rel="tag">data sharing</a>, <a href="https://blog.datadryad.org/tag/dryad/" rel="tag">Dryad</a>, <a href="https://blog.datadryad.org/tag/open-data/" rel="tag">open data</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6358 --> <article id="post-6328" class="post-6328 post type-post status-publish format-standard has-post-thumbnail hentry category-featured-data tag-data tag-data-reuse tag-data-science tag-linguistics tag-sleep tag-sleep-awareness-month"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2024/03/29/open-data-digest-march-2024/" rel="bookmark">Open Data Digest: March 2024</a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2024/03/29/open-data-digest-march-2024/" title="07:32" rel="bookmark"><time class="entry-date" datetime="2024-03-29T07:32:36-04:00">2024/03/29</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/dryadteam/" title="View all posts by The Dryad Team" rel="author">The Dryad Team</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>For Sleep Awareness Month, we’re shining a light on open, reusable data about sleep from across the animal world. <a href="https://blog.datadryad.org/2024/03/29/open-data-digest-march-2024/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p>Your monthly round-up of open data, featuring some of our most viewed publications from researchers around the world. <a href="https://docs.google.com/forms/d/e/1FAIpQLSfw9aG7WoKYan3nlxU4O61QjOEDbqyav8wGImRTQlev7LGoyQ/viewform?usp=sf_link" target="_blank" rel="noreferrer noopener">Subscribe today</a> to receive the Open Data Digest directly in your inbox. For <a href="https://hub.jhu.edu/at-work/2024/03/12/national-sleep-awareness-month/" target="_blank" rel="noreferrer noopener">Sleep Awareness Month</a>, we’re shining a light on data about sleep from across the animal world.</p> <div class="wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex" style="border-bottom-color:var(--wp--preset--color--tertiary);border-bottom-style:solid;border-bottom-width:1px;padding-top:var(--wp--preset--spacing--50);padding-right:0;padding-bottom:var(--wp--preset--spacing--50);padding-left:0"> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:33%"> <p class="has-primary-color has-text-color"><strong><strong>EARLY-LIFE SLEEP DISRUPTION</strong></strong></p> </div> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"> <p><a href="https://datadryad.org/stash/dataset/doi:10.5061/dryad.15dv41p1n" target="_blank" rel="noreferrer noopener"><strong>Early-life sleep disruption impairs subtle social behaviours in prairie voles: a pose-estimation study</strong></a><br>Bueno-Junior, Lezio et al. (2023)</p> <p>Data demonstrating the effects of early-life sleep deprivation on later life sociality and other subtle prairie vole behaviors.</p> </div> </div> <div class="wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-2 wp-block-columns-is-layout-flex" style="border-bottom-color:var(--wp--preset--color--tertiary);border-bottom-style:solid;border-bottom-width:1px;padding-top:var(--wp--preset--spacing--50);padding-right:0;padding-bottom:var(--wp--preset--spacing--50);padding-left:0"> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:33%"> <p class="has-primary-color has-text-color"><strong><strong><strong><strong><strong>MARINE MAMMALS</strong></strong></strong></strong></strong></p> </div> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"> <p><strong><a href="https://doi.org/10.7291/D1ZT2B" target="_blank" rel="noreferrer noopener">Data for: Brain activity of diving seals reveals short sleep cycles at depth</a></strong><br>Kendall-Bar, Jessica et al. (2023)</p> <p>Electroencephalographic (EEG) activity data from wild northern elephant seals, showing how these marine mammals satisfy their daily sleep requirements while at sea.</p> </div> </div> <div class="wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-3 wp-block-columns-is-layout-flex" style="border-bottom-color:var(--wp--preset--color--tertiary);border-bottom-style:solid;border-bottom-width:1px;padding-top:var(--wp--preset--spacing--50);padding-right:0;padding-bottom:var(--wp--preset--spacing--50);padding-left:0"> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:33%"> <p class="has-primary-color has-text-color"><strong><strong><strong><strong><strong>ELECTROPHYSIOLOGY</strong></strong></strong></strong></strong></p> </div> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"> <p><strong><a href="https://doi.org/10.5061/dryad.000000087" target="_blank" rel="noreferrer noopener">Nesting chinstrap penguins accrue large quantities of sleep through seconds-long microsleeps<br></a></strong>Libourel, Paul-Antoine; Lee, Won Young (2023)</p> <p>Electrophysiological data (4 EEG, 1 EMG) with accelerometry, video, behavioral scoring, GPS, depth, and weather data showing that nesting chinstrap penguins accrue large quantities of sleep via seconds-long microsleeps.</p> </div> </div> <div class="wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-4 wp-block-columns-is-layout-flex" style="border-bottom-color:var(--wp--preset--color--tertiary);border-bottom-style:solid;border-bottom-width:1px;padding-top:var(--wp--preset--spacing--50);padding-right:0;padding-bottom:var(--wp--preset--spacing--50);padding-left:0"> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:33%"> <p class="has-primary-color has-text-color"><strong><strong><strong>SLEEP DISORDERS</strong></strong></strong></p> </div> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"> <p><strong><a href="https://doi.org/10.5061/dryad.tdz08kq2m" target="_blank" rel="noreferrer noopener">Data from: Microglia are necessary to regulate sleep after an immune challenge</a></strong><br>Rowe, Rachel; Green, Tabitha (2022)</p> <p>Data on the role of microglia, a type of immune cell in the brain, in sleep regulation following an inflammatory trigger.</p> </div> </div> <div class="wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-5 wp-block-columns-is-layout-flex" style="border-bottom-color:var(--wp--preset--color--tertiary);border-bottom-style:solid;border-bottom-width:1px;padding-top:var(--wp--preset--spacing--50);padding-right:0;padding-bottom:var(--wp--preset--spacing--50);padding-left:0"> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:33%"> <p class="has-primary-color has-text-color"><strong><strong>NEUROLOGY</strong></strong></p> </div> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"> <p><strong><a href="https://doi.org/10.5061/dryad.vq83bk3sf" target="_blank" rel="noreferrer noopener">Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis</a></strong><br>Stanyer, Emily et al. (2021)</p> <p>Data from a meta-analysis that examined the differences in subjective sleep quality and objective sleep physiology between migraine patients and healthy controls</p> </div> </div> <div class="wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-6 wp-block-columns-is-layout-flex" style="border-bottom-color:var(--wp--preset--color--tertiary);border-bottom-style:solid;border-bottom-width:1px;padding-top:var(--wp--preset--spacing--50);padding-right:0;padding-bottom:var(--wp--preset--spacing--50);padding-left:0"> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:33%"> <p class="has-primary-color has-text-color"><strong><strong><strong><strong><strong>DROSOPHILA</strong></strong></strong></strong></strong></p> </div> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"> <p><strong><a href="https://doi.org/10.5061/dryad.qnk98sfpp" target="_blank" rel="noreferrer noopener">Data from: Homeostatic control of deep sleep and molecular correlates of sleep pressure in Drosophila</a></strong><br>Chowdhury, Budhaditya et al. (2023)</p> <p>Data from a study in which researchers developed a new method for sleep deprivation in fruit flies (Drosophila) that takes into account sleep-independent effects, demonstrating that deep sleep states are the main focus of homeostatic control.</p> </div> </div> <div class="wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-7 wp-block-columns-is-layout-flex" style="border-bottom-color:var(--wp--preset--color--tertiary);border-bottom-style:solid;border-bottom-width:1px;padding-top:var(--wp--preset--spacing--50);padding-right:0;padding-bottom:var(--wp--preset--spacing--50);padding-left:0"> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:33%"> <p class="has-primary-color has-text-color"><strong><strong><strong><strong><strong>HUNTINGTON’S DISEASE</strong></strong></strong></strong></strong></p> </div> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"> <p><strong><a href="https://doi.org/10.5061/dryad.q2bvq83jh" target="_blank" rel="noreferrer noopener">Sleep/wake transitions in sheep</a></strong><br>Schneider, Will (2021)</p> <p>Automated analysis of quantitative electroencephalography (EEG) to study transitions between wake and non-rapid eye movement sleep in a sheep model of presymptomatic Huntington’s Disease.</p> </div> </div> <div class="wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-8 wp-block-columns-is-layout-flex" style="border-bottom-color:var(--wp--preset--color--tertiary);border-bottom-style:solid;border-bottom-width:1px;padding-top:var(--wp--preset--spacing--50);padding-right:0;padding-bottom:var(--wp--preset--spacing--50);padding-left:0"> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow" style="flex-basis:33%"> <p class="has-primary-color has-text-color"><strong><strong><strong><strong>RESILIENCE</strong></strong></strong></strong></p> </div> <div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"> <p><strong><a href="https://doi.org/10.5061/dryad.x0k6djhn4" target="_blank" rel="noreferrer noopener">Non-rapid eye movement sleep determines resilience to social stress</a></strong><br>Ehlen, J. Christopher (2022)</p> <p>Data from a study on the role of sleep in maladaptive responses to social stress, using a social-defeat model in male mice to study individual variations in resilience.</p> </div> </div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <div style="height:100px" aria-hidden="true" class="wp-block-spacer"></div> <p class="has-text-align-center"><strong>Explore over 60,000 more free-to-use datasets</strong>.</p> <div class="wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-1 wp-block-buttons-is-layout-flex"> <div class="wp-block-button"><a class="wp-block-button__link has-text-align-center wp-element-button" href="http://www.datadryad.org" target="_blank" rel="noreferrer noopener">Visit Dryad</a></div> </div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-background" style="background-color:#e4f1f7">Feedback and questions are always welcome, to <a href="mailto:hello@datadryad.org">hello@datadryad.org</a>. <br><br>To keep in touch with the latest updates from Dryad, follow us on <a href="https://twitter.com/datadryad">Twitter</a>, <a href="https://www.facebook.com/profile.php?id=100075926210112">Facebook</a>, <a href="https://www.linkedin.com/company/datadryad/">LinkedIn</a>, <a href="https://mstdn.science/@datadryad">Mastodon</a>, and <a href="https://bsky.app/profile/datadryad.bsky.social">Bluesky</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLSfK-N1aGRWu2lvY261nY6mfQBcmBNHj5IENjboOjGTB7SMDUg/viewform?usp=sf_link">subscribe to our quarterly newsletter</a>.</p> </div></div> </div></div> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/featured-data/" rel="category tag">Featured data</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/data/" rel="tag">data</a>, <a href="https://blog.datadryad.org/tag/data-reuse/" rel="tag">data reuse</a>, <a href="https://blog.datadryad.org/tag/data-science/" rel="tag">data science</a>, <a href="https://blog.datadryad.org/tag/linguistics/" rel="tag">linguistics</a>, <a href="https://blog.datadryad.org/tag/sleep/" rel="tag">sleep</a>, <a href="https://blog.datadryad.org/tag/sleep-awareness-month/" rel="tag">Sleep Awareness Month</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6328 --> <article id="post-6317" class="post-6317 post type-post status-publish format-standard has-post-thumbnail hentry category-membership tag-dryad tag-open-data tag-research-data"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2024/03/19/leaders-in-open-data-welcoming-four-new-dryad-members/" rel="bookmark">Leaders in open data: Welcoming four new Dryad members</a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2024/03/19/leaders-in-open-data-welcoming-four-new-dryad-members/" title="09:31" rel="bookmark"><time class="entry-date" datetime="2024-03-19T09:31:00-04:00">2024/03/19</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/dryadteam/" title="View all posts by The Dryad Team" rel="author">The Dryad Team</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>Three new universities and one new publisher have joined Dryad’s affordable, trustworthy membership program for research data sharing. <a href="https://blog.datadryad.org/2024/03/19/leaders-in-open-data-welcoming-four-new-dryad-members/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p>Researchers around the world entrust their research data to Dryad’s reliable curation and publishing process. Over 80 institutions and publishers currently sponsor data publication on behalf of their affiliated researchers through Dryad’s <a href="https://datadryad.org/stash/join_us">membership program</a>. We’re pleased to announce that three new universities and one new publishing organization have recently joined our community:</p> <ul class="wp-block-list"> <li>Temple University</li> <li>University of Arkansas</li> <li>University of Oklahoma</li> <li><a href="https://www.faseb.org/journals-and-news/latest-news/faseb-announces-partnership-with-dryad">Federation of American Societies for Experimental Biology (FASEB)</a></li> </ul> <p>The University of Oklahoma and the University of Arkansas have joined Dryad under a pilot arrangement with the <a href="https://www.gwla.org/">Greater Western Library Alliance</a> consortium.</p> <h2 class="wp-block-heading">Becoming a Dryad member</h2> <p>Dryad’s membership program makes it easy and affordable for institutions and publishers to ensure their research data is curated, published, and preserved by providing robust infrastructure, services, and expertise. </p> <p>Our members directly support researchers and champion non-profit, mission-driven infrastructure for open science. If your institution is interested in joining our community of organizations committed to leading in best practices for open data publishing, <a href="https://datadryad.org/stash/contact">get in touch</a> or <a href="https://datadryad.org/stash/join_us">visit our website</a>.</p> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-background" style="background-color:#e4f1f7">Feedback and questions are always welcome, to <a href="mailto:hello@datadryad.org">hello@datadryad.org</a>. <br><br>To keep in touch with the latest updates from Dryad, follow us on <a href="https://twitter.com/datadryad">Twitter</a>, <a href="https://www.facebook.com/profile.php?id=100075926210112">Facebook</a>, <a href="https://www.linkedin.com/company/datadryad/">LinkedIn</a>, <a href="https://mstdn.science/@datadryad">Mastodon</a>, and <a href="https://bsky.app/profile/datadryad.bsky.social">Bluesky</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLSfK-N1aGRWu2lvY261nY6mfQBcmBNHj5IENjboOjGTB7SMDUg/viewform?usp=sf_link">subscribe to our quarterly newsletter</a>.</p> </div></div> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/membership/" rel="category tag">Membership</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/dryad/" rel="tag">Dryad</a>, <a href="https://blog.datadryad.org/tag/open-data/" rel="tag">open data</a>, <a href="https://blog.datadryad.org/tag/research-data/" rel="tag">research data</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6317 --> <article id="post-6298" class="post-6298 post type-post status-publish format-standard has-post-thumbnail hentry category-discoverability category-funding tag-open-data tag-persistent-identifiers tag-pids"> <header class="entry-header"> <h1 class="entry-title"><a href="https://blog.datadryad.org/2024/02/29/dryad-in-the-community-why-we-all-need-good-funding-metadata/" rel="bookmark">Dryad in the community: Why we all need good funding metadata</a></h1> <div class="entry-meta"> <span class="sep">Posted on </span><a href="https://blog.datadryad.org/2024/02/29/dryad-in-the-community-why-we-all-need-good-funding-metadata/" title="04:48" rel="bookmark"><time class="entry-date" datetime="2024-02-29T04:48:50-05:00">2024/02/29</time></a><span class="by-author"> <span class="sep"> by </span> <span class="author vcard"><a class="url fn n" href="https://blog.datadryad.org/author/dryadteam/" title="View all posts by The Dryad Team" rel="author">The Dryad Team</a></span></span> </div><!-- .entry-meta --> </header><!-- .entry-header --> <!-- Show only excerpts in the content roll --> <div class="entry-summary"> <p>Learn about how and why Dryad incorporates funding metadata using the Research Organization Registry (ROR) in this event recording. <a href="https://blog.datadryad.org/2024/02/29/dryad-in-the-community-why-we-all-need-good-funding-metadata/">Continue reading <span class="meta-nav">→</span></a></p> </div><!-- .entry-summary --> <!-- Previous code to show content except in search results --> <!-- <div class="entry-content"> <p>Consistent, transparent, machine-readable funding metadata supports research integrity and helps funders gauge their impact. Learn about how and why Dryad incorporates funding metadata using the <a href="http://ror.org">Research Organization Registry</a> (ROR) in this <a href="https://www.youtube.com/watch?v=mDWpO8Jz2lM">event recording</a>.</p> <p>As <a href="https://uc3.cdlib.org/2019/07/11/ror-ing-together-implementing-organization-ids-in-dryad/">one of the earliest ROR implementers</a>, Dryad has been using ROR ids for researcher affiliations since 2019 and recently adopted ROR to identify funders as well. In this recording, you’ll hear from Dryad’s Head of Community Engagement, Sarah Lippincott, and other industry experts, about how incorporating funder metadata improves research integrity and transparency, aids discovery, and gives funders insight into the impact of the projects they sponsor.</p> <p>For more on how ROR ids and other persistent identifiers help connect data to its creators, funders, and associated research outputs, see our blog post <a href="https://blog.datadryad.org/2023/10/26/for-authors-what-are-pids-and-how-do-they-amplify-your-datas-impact/" target="_blank" rel="noreferrer noopener">For authors: What are PIDs and how do they amplify your data’s impact?</a>.</p> <p>Are you a research funder? <a href="mailto:hello@datadryad.org">Get in touch</a> to learn about how Dryad can help you evaluate the impact of your investments in research.</p> <figure class="wp-block-embed is-type-rich is-provider-embed-handler wp-block-embed-embed-handler wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper"> <a href="https://youtube.com/watch?v=mDWpO8Jz2lM%3Fsi%3DEFcvQY6YE2slyaCf%26start%3D776" rel="nofollow">https://youtube.com/watch?v=mDWpO8Jz2lM%3Fsi%3DEFcvQY6YE2slyaCf%26start%3D776</a> </div></figure> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-background" style="background-color:#e4f1f7">Feedback and questions are always welcome, to <a href="mailto:hello@datadryad.org">hello@datadryad.org</a>. <br><br>To keep in touch with the latest updates from Dryad, follow us on <a href="https://twitter.com/datadryad">Twitter</a>, <a href="https://www.facebook.com/profile.php?id=100075926210112">Facebook</a>, <a href="https://www.linkedin.com/company/datadryad/">LinkedIn</a>, <a href="https://mstdn.science/@datadryad">Mastodon</a>, and <a href="https://bsky.app/profile/datadryad.bsky.social">Bluesky</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLSfK-N1aGRWu2lvY261nY6mfQBcmBNHj5IENjboOjGTB7SMDUg/viewform?usp=sf_link">subscribe to our quarterly newsletter</a>.</p> </div></div> </div></!-- .entry-content --/> --> <footer class="entry-meta"> <span class="cat-links"> <span class="entry-utility-prep entry-utility-prep-cat-links">Posted in</span> <a href="https://blog.datadryad.org/category/discoverability/" rel="category tag">Discoverability</a>, <a href="https://blog.datadryad.org/category/funding/" rel="category tag">Funding</a> </span> <span class="sep"> | </span> <span class="tag-links"> <span class="entry-utility-prep entry-utility-prep-tag-links">Tagged</span> <a href="https://blog.datadryad.org/tag/open-data/" rel="tag">open data</a>, <a href="https://blog.datadryad.org/tag/persistent-identifiers/" rel="tag">persistent identifiers</a>, <a href="https://blog.datadryad.org/tag/pids/" rel="tag">pids</a> </span> </footer><!-- .entry-meta --> </article><!-- #post-6298 --> <nav 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