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The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data. All data is in scope, whether born digital or converted from other sources."/><link rel="canonical" href="https://datascience.codata.org"/><link rel="alternate" hrefLang="en" href="https://datascience.codata.org"/><link rel="alternate" hrefLang="x-default" href="https://datascience.codata.org"/><meta property="og:title" content="Data Science Journal"/><meta property="og:description" content="The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data. All data is in scope, whether born digital or converted from other sources."/><meta property="og:url" content="https://datascience.codata.org"/><meta property="og:site_name" content="Data Science Journal"/><meta property="og:locale" content="en"/><meta property="og:image" content="https://storage.googleapis.com/jnl-up-j-dsj-public/journals/1/journalThumbnail_en_US.jpg"/><meta property="og:image:alt" content="thumbnail image"/><meta property="og:image:width" content="600"/><meta property="og:image:height" content="600"/><meta property="og:locale:alternate" content="en-US"/><meta property="og:type" content="website"/><meta name="twitter:card" content="summary"/><meta name="twitter:title" content="Data Science Journal"/><meta name="twitter:description" content="The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. 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style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Fjnl-up-j-dsj-public%2Fjournals%2F1%2Fcarousel%2Fslide15_en_US.jpg&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Fjnl-up-j-dsj-public%2Fjournals%2F1%2Fcarousel%2Fslide15_en_US.jpg&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Fjnl-up-j-dsj-public%2Fjournals%2F1%2Fcarousel%2Fslide15_en_US.jpg&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Fjnl-up-j-dsj-public%2Fjournals%2F1%2Fcarousel%2Fslide15_en_US.jpg&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Fjnl-up-j-dsj-public%2Fjournals%2F1%2Fcarousel%2Fslide15_en_US.jpg&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Fjnl-up-j-dsj-public%2Fjournals%2F1%2Fcarousel%2Fslide15_en_US.jpg&w=1920&q=75 1920w, 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href="https://account.datascience.codata.org/index.php/up-j-dsj/gateway/plugin/WebFeedGatewayPlugin/atom" title="Follow via RSS" class="hYZFkb hYZFjI fPSBzf fZAeZb kSmiQp legDhJ hvRHFB fVkpAe kghvgt cMAzwg fagWSd bxcfDf cDiZAc" style="--sl-background-color:hsl(25, 85%, 56%);--sl-text-color:#ffffff;--sl-hover-color:hsl(25, 85%, 51%)"><svg aria-hidden="true" class="kXATDT fibjxV eAGTFX" viewBox="0 0 960 960" style="--svg-width:1.5rem;--svg-height:1.5rem"><use href="/api/1.7.10/spritesheet#rss-feed"></use></svg></a></li></ul></nav><section aria-labelledby="about" class="ljXGdG fdfVFM jrnjrZ cWkHOC cnsCBk fEzDZB"><h2 id="about" class="dOmORn gluBBo jwcObW" tabindex="-1">About this journal</h2><div class="eSEnRK erRRVO dNXUQo cjzFSm JUYHF bqmeqr bInrdi dCSLQl jhQjpY ibCwtb cEaIEN hpftSi jYADwv fSrteL gCaouQ bpiJH fMDMgT euvmnb dWEByn lhewWf kzWhjJ kGrTuD dINDpi cMEHgi joaZnP ckxHlM enUkly grOQmn gNPIvT jERTDL cwBrTF jCafsy eKfPsn kDvOvm eNYtiW jBYKcI wQfnp juzEmB epmuvM jxASez dxaDoa hAMuHi jBBExG nTSai fRdekv fnFPHJ gJNujC kEWxAo bHjWUJ eMxTUw dlxxQW dvknbV fFtpRP dxzIlt iEgVSh fckrva grndIc kmqrqt krLtwY cCAxWr kVhtyM iztRDP liMYqy ovoga fZVqxR bIDaVq ihfBBT jcxVWj kmBHnL dESszd eubqet kIepeo iacOaP cTSgTJ jLLntq fUakio fwHzea dkXDMO bnuHOn knxlOo gAofhl igxpLC kKUitp klpVDy iLBNjq dwlUMG ixJHCD kyIBgn thMLB iVlhWp jEryfO dPhvLs eGCfDJ kjJSbn bBqmsj xxWbw hxHqQC qmLyI udWtD dLDUgN fNBxGI eFsFfP gKssyu iBLeSY"><p><span style="line-height:1.42857143">The CODATA </span><em style="line-height:1.42857143">Data Science Journal</em><span style="line-height:1.42857143"> is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.</span></p> <p>All data is in scope, whether born digital or converted from other sources.</p></div></section><section aria-labelledby="announcements" class="ljXGdG fdfVFM jrnjrZ cWkHOC cnsCBk fEzDZB"><h2 id="announcements" class="dOmORn gluBBo jwcObW" tabindex="-1">Announcements</h2><ul><li class="dnRyhu dnRyhX fdfVFM jrnjrZ cWkHOC"><article role="article"><h3 class="xNKXN gsjAMe">Special Collection Call for Papers: Building an Open Data Collaborative Network in the Asia-Oceania Area</h3><div class="eSEnRK erRRVO dNXUQo cjzFSm JUYHF bqmeqr bInrdi dCSLQl jhQjpY ibCwtb cEaIEN hpftSi jYADwv fSrteL gCaouQ bpiJH fMDMgT euvmnb dWEByn lhewWf kzWhjJ kGrTuD dINDpi cMEHgi joaZnP ckxHlM enUkly grOQmn gNPIvT jERTDL cwBrTF jCafsy eKfPsn kDvOvm eNYtiW jBYKcI wQfnp juzEmB epmuvM jxASez dxaDoa hAMuHi jBBExG nTSai fRdekv fnFPHJ gJNujC kEWxAo bHjWUJ eMxTUw dlxxQW dvknbV fFtpRP dxzIlt iEgVSh fckrva grndIc kmqrqt krLtwY cCAxWr kVhtyM iztRDP liMYqy ovoga fZVqxR bIDaVq ihfBBT jcxVWj kmBHnL dESszd eubqet kIepeo iacOaP cTSgTJ jLLntq fUakio fwHzea dkXDMO bnuHOn knxlOo gAofhl igxpLC kKUitp klpVDy iLBNjq dwlUMG ixJHCD kyIBgn thMLB iVlhWp jEryfO dPhvLs eGCfDJ kjJSbn bBqmsj xxWbw hxHqQC qmLyI udWtD dLDUgN fNBxGI eFsFfP gKssyu iBLeSY"><div> <div class="" style="overflow-wrap:break-word;-webkit-nbsp-mode:space;line-break:after-white-space"> <div class=""> <div class=""> <div class=""> <div class="gmail_quote"> <div class="" style="overflow-wrap:break-word"> <div class=""> <div class=""> <div class=""> <div class=""> <h2 tabindex="-1">Scope</h2> This special collection derives from the International Symposium on Data Science (DSWS-2023; <a target="_blank" rel="noopener" class="" href="https://ds.rois.ac.jp/article/dsws_2023">https://ds.rois.ac.jp/article/dsws_2023</a>) that was held in Tokyo, Japan (11-15 December 2023). The symposium was organized by the Joint Support-Center for Data Science Research, Research Organization of Information and Systems (ROIS-DS) in collaboration with the Committee of International Collaborations on Data Science and the Science Council of Japan (SCJ). The event was also strongly supported and facilitated by the global data community, led by the World Data System (WDS) and the Committee on Data (CODATA) of the International Science Council (ISC). It aimed to facilitate information exchange regarding the archiving, publication, and utilization of diverse data relating to societal and global challenges such as COVID-19, information proliferation, global warming, extreme weather events, regional conflicts, etc., and their impact on the Asia-Oceania region.</div> <div class=""><br class=""/>The symposium was organized in several interdisciplinary scientific sessions involving international data activities in the Asia-Oceania region and beyond. They included various aspects of accreditation schemes and their benefits, individual international initiatives, data centres and networks, data management planning, data policies, legacy data, historical data, data sharing, citation and publication across disciplines.</div> <div class=""><br class=""/>Over 80 presentations were made, triggering fruitful discussions that focused on forming international collaborative networks related to open data in the region and establishing concrete cooperation frameworks within the global framework. The goal of the symposium was to build consensus on various aspects of research data management by stakeholders in alignment with open research policies and FAIR principles. The conducted scientific sessions could potentially lead to new ways of promoting interdisciplinary and collaborative research, data management platforms, and efficient data reuse under different scientific disciplines, based on evidence and feedback from the Asia and Oceania communities.</div> <div class=""><br class=""/>This special collection targets articles that outline best practices for attaining the foregoing goal. In particular, it seeks to publish research articles that relate to developing data systems and data analysis procedures from a multidisciplinary viewpoint. Contributions are not restricted to presentations made at the symposium, and so the editors would welcome submissions from any authors, globally, whose research and practical interests align with the symposium themes.</div> <div class=""> </div> <div class="">Further inquiries regarding the Special Issue can be directed to the Guest Editors. <br class=""/><br class=""/> <h2 tabindex="-1">Guest Editors</h2> • Tomoya Baba (Research Organization of Information and Systems)<br class=""/>• David Castle (University of Victoria)</div> <div class="">• Tyng-Ruey Chuang (Academia Sinica)<br class=""/>• Masaki Kanao (Research Organization of Information and Systems)<br class=""/>• Johnathan Kool (Australian Antarctic Division) <br class=""/>• Kassim S. Mwitondi (Sheffield Hallam University) <br class=""/>• Yubao Qiu (GEO Cold Regions Initiative)<br class=""/>• Juanle Wang (China Academy of Science; Editorial Board of the Data Science Journal) <br class=""/><br class=""/> <h2 tabindex="-1">Deadline of Expression of Interest: 29 February 2024</h2> Please input your Expression of Interest for the "Special Collection" to the following Google Form:<br class=""/><br class=""/><a target="_blank" rel="noopener" class="" href="https://docs.google.com/forms/d/e/1FAIpQLSeENmAbBSBeHgLow5tybfLjYnsudjZZaiKUi1i7Aoz9AR4MhA/viewform">https://docs.google.com/forms/d/e/1FAIpQLSeENmAbBSBeHgLow5tybfLjYnsudjZZaiKUi1i7Aoz9AR4MhA/viewform</a><br class=""/><br class=""/>You are required to input the information on “Author(s), Affiliation(s), Contact Address and Tentative Article Title(s)”. This EoI Form will be closed by 29 February 2024.<br class=""/><br class=""/> <h2 tabindex="-1">Deadline of Article Submission: 31 July 2024</h2> <p> </p> <h2 tabindex="-1">Final Publishing Online: 31 March 2025 (provisional)</h2> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div></div><footer class="dnRKzu fPSBzf kSmiQp gSKPcF jLcdRN hMdgLl" role="contentinfo"><a class="gsjAMe" href="/en/announcements#special-collection-call-for-papers-building-an-open-data-collaborative-network-in-the-asia-oceania-area">Read more <span class="mBgaT">about Special Collection Call for Papers: Building an Open Data Collaborative Network in the Asia-Oceania Area</span></a><div class="AMuyK iBLeSY iiuxGT cWvcLa bFHXRw">Published on <time dateTime="2023-12-11T17:38:01.000Z">Dec 11, 2023</time></div></footer></article></li><li class="dnRyhu dnRyhX fdfVFM jrnjrZ cWkHOC"><article role="article"><h3 class="xNKXN gsjAMe">Special Collection Call for Papers: Data and AI policy, systems, and tools for times of crisis</h3><div class="eSEnRK erRRVO dNXUQo cjzFSm JUYHF bqmeqr bInrdi dCSLQl jhQjpY ibCwtb cEaIEN hpftSi jYADwv fSrteL gCaouQ bpiJH fMDMgT euvmnb dWEByn lhewWf kzWhjJ kGrTuD dINDpi cMEHgi joaZnP ckxHlM enUkly grOQmn gNPIvT jERTDL cwBrTF jCafsy eKfPsn kDvOvm eNYtiW jBYKcI wQfnp juzEmB epmuvM jxASez dxaDoa hAMuHi jBBExG nTSai fRdekv fnFPHJ gJNujC kEWxAo bHjWUJ eMxTUw dlxxQW dvknbV fFtpRP dxzIlt iEgVSh fckrva grndIc kmqrqt krLtwY cCAxWr kVhtyM iztRDP liMYqy ovoga fZVqxR bIDaVq ihfBBT jcxVWj kmBHnL dESszd eubqet kIepeo iacOaP cTSgTJ jLLntq fUakio fwHzea dkXDMO bnuHOn knxlOo gAofhl igxpLC kKUitp klpVDy iLBNjq dwlUMG ixJHCD kyIBgn thMLB iVlhWp jEryfO dPhvLs eGCfDJ kjJSbn bBqmsj xxWbw hxHqQC qmLyI udWtD dLDUgN fNBxGI eFsFfP gKssyu iBLeSY"><p>The <a href="/en">Data Science Journal</a> invites researchers, practitioners, policymakers, and stakeholders to contribute to a special collection of articles on ‘Data and AI policy, systems, and tools for times of crisis’. This special collection explores the challenges, opportunities, and innovative approaches related to data policy development and implementation to address crises, such as natural disasters, public health emergencies, humanitarian crises, or other disruptive events.</p> <p>The collection seeks high-quality articles that address various aspects of data and AI policy as well as data and AI systems and tools for crisis situations, encompassing theoretical, empirical, and practical perspectives. We welcome submissions that examine the intersection of data science, policy, and crisis management, shedding light on the ethical, legal, social, and technical dimensions of data governance and utilization.</p> <h2 tabindex="-1">Objectives</h2> <p>The primary objective of this special collection is to explore the transformative potential of data and AI policy in relation to data and AI systems and tools for crisis management and crisis governance while contributing to building a more resilient and data-driven world. In this context, the special collection will pursue the following specific objectives:</p> <ol> <li>examining the scientific, political, and societal frameworks involved in data and AI policy addressing crisis situations;</li> <li>exploring the underlying ethical, human rights, and humanitarian frameworks needed to support data and AI policy during crisis situations; and</li> <li>supporting the development of systems, tools, and services that promote the responsible practice and use of data and AI when generating scientific evidence in crisis situations and guiding decision making in preparedness and response.</li> </ol> <p>Overall this special collection will contribute to advancing knowledge and fostering effective data and AI policy frameworks as well as the data and AI science system and tools that can support decision-making, improve response efforts, and enhance the resilience of first responders and communities in times of crisis.</p> <h2 tabindex="-1">Background</h2> <p>This special collection is driven and supported by a workstream within the ISC CODATA International Data Policy Committee (IDPC) engaged in analysis, consultation, and the development of position papers on data policy in times of crisis. The IDPC’s work contributes to international efforts in this area focused on the collection, processing, and use of data in situations of natural disaster, health crises, geo-political conflicts, and other disruptive circumstances. It examines the data and AI policy frameworks necessary to ensure that scientific projects, particularly regarding data collection and processing, are viable and relevant to crisis situations while also contributing to scientific results in preparing for, responding to, and recovering from crises.</p> <p>Another working group is being established on ‘Data Systems, Tools, and Services for Crisis Situations’ whose mission it is to elucidate scientific as well as the ethical, legal, and social impact (ELSI) features of data systems, tools, and services in relationship to the needs of scientists, policy/decision-makers, emergency responders, media, and affected communities by providing overview of those characteristics and how they are expressed in the architecture, design, interoperability standards, and application of these instruments to crisis situations worldwide.</p> <p>The Centre for Science Futures of the International Science Council provides a focal point for discussions on the role of data and AI policy in science in connection with crises.</p> <p>This <em>DSJ</em> special collection contributes to the work of these interrelated groups while broadening the scope throughout the communities of stakeholders.</p> <h2 tabindex="-1">Topics</h2> <p>Topics of interest for this special collection include the following:</p> <ol> <li>Approaches to data and AI quality, data reliability, and data integrity during times of crisis</li> <li>Policy frameworks for data management and sharing during crises</li> <li>Data and AI governance models and institutional arrangements in the context of crises</li> <li>Ethical considerations and guidelines for responsible data collection, analysis, and (re)use in crisis situations</li> <li>Data privacy, security, and protection in crisis preparation, response, and recovery efforts</li> <li>Consent for the use of data and AI in times of crisis</li> <li>Open data initiatives and practices for enhanced crisis preparedness and response</li> <li>Data and AI policy topics related to open science, including the UNESCO <em>Declaration on Open Science</em>, African Open Science Platform, Global Open Science Cloud (GOSC), China Science and Technology Cloud (CSTCloud), Australian Research Data Commons (ARDC), Open Science Framework, European Open Science Cloud (EOSC)</li> <li>How data and AI policy contribute to the alignment of human rights and fundamental freedoms while supporting humanitarian principles, such as humanity, impartiality, neutrality, and independence.</li> <li>Policy as it relates to data, AI, system, and tool interoperability, integration, and standardization in crisis management and crisis governance systems</li> <li>Community engagement, participation, and empowerment in data policy development for crises</li> <li>Legal and regulatory challenges and solutions for data utilization during crises</li> <li>Technological advancements and tools supporting data and AI policy in crisis management</li> <li>Impact evaluation, lessons learned, and best practices in data policy implementation during crises</li> </ol> <p>Authors are encouraged to present case studies, theoretical frameworks, policy analyses, empirical studies, and practical experiences that contribute to the understanding and advancement of data policy in crisis situations.</p> <h2 tabindex="-1">About the Data Science Journal</h2> <p>The CODATA <em>Data Science Journal</em> (DSJ) is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.</p> <p>As with all <em>DSJ</em> articles, submissions to this special collection will undergo a rigorous peer review process to ensure scholarly quality and relevance.</p> <h2 tabindex="-1">Collection editors (in alphabetical order)</h2> <p>Burçak Başbuğ Erkan, Gnana Bharathy, Paul Box, Francis P. Crawley, Mathieu Denis, Perihan Elif Ekmekci, Simon Hodson, Stefanie Kethers, Virginia Murray, Hans Pfeiffenberger, Lili Zhang</p> <h2 tabindex="-1">Submission and dates</h2> <p>Please review carefully the <em>DSJ</em> <a href="/en/about/editorialpolicies">Editorial Policies</a> and <a href="/en/about/submissions">Submission Guidelines</a> when preparing your manuscript for review. Submissions must be of high scientific quality and prepared with attention to correct English grammar and usage requirements.</p> <ul> <li><u>Submission </u><u>deadline</u>: accepted contributions will be published on a rolling basis spread across issues of the <em>DSJ</em>. Submissions close on Friday 28 June 2024</li> <li><u>Expected </u><u>publication</u>: expect a four-week period for peer-review upon submission. Accepted papers will be published based on the <em>DSJ</em> issue space availability and publication schedule.</li> </ul> <p>For more information on the special issue, you may contact the journal editors through this <a href="/en/contact">link</a>.</p></div><footer class="dnRKzu fPSBzf kSmiQp gSKPcF jLcdRN hMdgLl" role="contentinfo"><a class="gsjAMe" href="/en/announcements#special-collection-call-for-papers-data-and-ai-policy-systems-and-tools-for-times-of-crisis">Read more <span class="mBgaT">about Special Collection Call for Papers: Data and AI policy, systems, and tools for times of crisis</span></a><div class="AMuyK iBLeSY iiuxGT cWvcLa bFHXRw">Published on <time dateTime="2023-12-05T20:26:30.000Z">Dec 5, 2023</time></div></footer></article></li><li class="dnRyhu dnRyhX fdfVFM jrnjrZ cWkHOC"><article role="article"><h3 class="xNKXN gsjAMe">Call for Papers: Data Science and Machine Learning for Cybersecurity</h3><div class="eSEnRK erRRVO dNXUQo cjzFSm JUYHF bqmeqr bInrdi dCSLQl jhQjpY ibCwtb cEaIEN hpftSi jYADwv fSrteL gCaouQ bpiJH fMDMgT euvmnb dWEByn lhewWf kzWhjJ kGrTuD dINDpi cMEHgi joaZnP ckxHlM enUkly grOQmn gNPIvT jERTDL cwBrTF jCafsy eKfPsn kDvOvm eNYtiW jBYKcI wQfnp juzEmB epmuvM jxASez dxaDoa hAMuHi jBBExG nTSai fRdekv fnFPHJ gJNujC kEWxAo bHjWUJ eMxTUw dlxxQW dvknbV fFtpRP dxzIlt iEgVSh fckrva grndIc kmqrqt krLtwY cCAxWr kVhtyM iztRDP liMYqy ovoga fZVqxR bIDaVq ihfBBT jcxVWj kmBHnL dESszd eubqet kIepeo iacOaP cTSgTJ jLLntq fUakio fwHzea dkXDMO bnuHOn knxlOo gAofhl igxpLC kKUitp klpVDy iLBNjq dwlUMG ixJHCD kyIBgn thMLB iVlhWp jEryfO dPhvLs eGCfDJ kjJSbn bBqmsj xxWbw hxHqQC qmLyI udWtD dLDUgN fNBxGI eFsFfP gKssyu iBLeSY"><p>Manuscript Submission Deadline: April 30, 2023</p> <p>Recent changes in data science are transforming cybersecurity in a computing context. Applied science is the process of applying scientific methods, machine learning techniques, processes, and systems to data. While Cybersecurity Data Science (CSDS) enables more actionable and intelligent computing in the domain of cybersecurity as compared to traditional methods. It encompasses the rapidly growing practice of applying data science to prevent, detect, and remediate cybersecurity threats.</p> <p>Cybersecurity data science is a fast-developing field that uses data science techniques to address cybersecurity issues. Data-driven, statistical, and analytical methodologies are increasingly used to close security holes. It examines the healthcare, transportation, surveillance, social media, and law enforcement sectors, in order to evaluate the specific issues they pose and how they can be addressed.</p> <p>Cybersecurity data science is the focus of this special issue, with analytics supporting the most recent trends to optimize security solutions. The data is acquired from reliable cybersecurity sources. Using machine learning, the problem also aims to develop a multi-layered cybersecurity modeling framework. Data-driven intelligent decision-making can help defend systems against cyberattacks as we address cybersecurity data science and pertinent methodologies.</p> <ul> <li>Potential topics include, but are not limited to:</li> <li>Cloud-based cybersecurity analytics</li> <li>Real-time IoT/endpoint-based detection</li> <li>Deep learning and reinforcement learning</li> <li>Human-in-the-loop cyclical machine learning</li> <li>Adversarial attacks on machine learning systems</li> <li>AI-driven fake news and disinformation campaigns</li> <li>Cybercrime analysis, intelligence, and security</li> <li>Big crime data science algorithms and open-source situational awareness</li> <li>Misinformation and hate speech detection and mitigation</li> <li>Data-driven cyber knowledge base development</li> <li>Data Science to demonstrate cyber weakness</li> <li>Robustness and interpretability in ML for security tasks</li> </ul> <p>Special Collection Editors:</p> <p>Zhenfeng Liu, Shanghai Maritime University</p> <p>Xiaogang Ma, University of Idaho</p> <p>Anwar Vahed, Data Intensive Research Initiative of South Africa</p></div><footer class="dnRKzu fPSBzf kSmiQp gSKPcF jLcdRN hMdgLl" role="contentinfo"><a class="gsjAMe" href="/en/announcements#call-for-papers-data-science-and-machine-learning-for-cybersecurity">Read more <span class="mBgaT">about Call for Papers: Data Science and Machine Learning for Cybersecurity</span></a><div class="AMuyK iBLeSY iiuxGT cWvcLa bFHXRw">Published on <time dateTime="2023-02-06T00:00:00.000Z">Feb 6, 2023</time></div></footer></article></li></ul><a class="gmypTc fgMeiS cGFOJB gscqyd" href="/en/announcements"><div class="cmumxy PSPAS dZZFJt ettQnR fyXYnh dQRKDx glnUqO bLfbKO bZRhvx jTWvec fEVEmD kSmiQp legDhJ cbkwRf ddgCQn gKedlK gsjAMe coXRbg kghvgt jHhPMr fagWSd bXCDPN kehQYR hGCZrx CKHnj bxwBwu ikyWUw gfXorT bfnUYz fuJFTK gYfDcK kCVDmt"><div class="cERSkX bgTIyZ iprOUu jHhPMr fagWSd jXSfKH hWgZTB fPSBzf kSmiQp legDhJ jcLwpP"><svg aria-hidden="true" class="kXATDT 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The symposium was organized by the Joint Support-Center for Data Science Research, Research Organization of Information and Systems (ROIS-DS) in collaboration with the Committee of International Collaborations on Data Science and the Science Council of Japan (SCJ). The event was also strongly supported and facilitated by the global data community, led by the World Data System (WDS) and the Committee on Data (CODATA) of the International Science Council (ISC). It aimed to facilitate information exchange regarding the archiving, publication, and utilization of diverse data relating to societal and global challenges such as COVID-19, information proliferation, global warming, extreme weather events, regional conflicts, etc., and their impact on the Asia-Oceania region.\"]}],\"\\n\",[\"$\",\"div\",\"3\",{\"className\":\"\",\"children\":[[\"$\",\"br\",\"0\",{\"className\":\"\",\"children\":\"$undefined\"}],\"The symposium was organized in several interdisciplinary scientific sessions involving international data activities in the Asia-Oceania region and beyond. They included various aspects of accreditation schemes and their benefits, individual international initiatives, data centres and networks, data management planning, data policies, legacy data, historical data, data sharing, citation and publication across disciplines.\"]}],\"\\n\",[\"$\",\"div\",\"5\",{\"className\":\"\",\"children\":[[\"$\",\"br\",\"0\",{\"className\":\"\",\"children\":\"$undefined\"}],\"Over 80 presentations were made, triggering fruitful discussions that focused on forming international collaborative networks related to open data in the region and establishing concrete cooperation frameworks within the global framework. The goal of the symposium was to build consensus on various aspects of research data management by stakeholders in alignment with open research policies and FAIR principles. The conducted scientific sessions could potentially lead to new ways of promoting interdisciplinary and collaborative research, data management platforms, and efficient data reuse under different scientific disciplines, based on evidence and feedback from the Asia and Oceania communities.\"]}],\"\\n\",[\"$\",\"div\",\"7\",{\"className\":\"\",\"children\":[[\"$\",\"br\",\"0\",{\"className\":\"\",\"children\":\"$undefined\"}],\"This special collection targets articles that outline best practices for attaining the foregoing goal. In particular, it seeks to publish research articles that relate to developing data systems and data analysis procedures from a multidisciplinary viewpoint. Contributions are not restricted to presentations made at the symposium, and so the editors would welcome submissions from any authors, globally, whose research and practical interests align with the symposium themes.\"]}],\"\\n\",[\"$\",\"div\",\"9\",{\"className\":\"\",\"children\":\" \"}],\"\\n\",[\"$\",\"div\",\"11\",{\"className\":\"\",\"children\":[\"Further inquiries regarding the Special Issue can be directed to the Guest Editors. \",[\"$\",\"br\",\"1\",{\"className\":\"\",\"children\":\"$undefined\"}],[\"$\",\"br\",\"2\",{\"className\":\"\",\"children\":\"$undefined\"}],\"\\n\",[\"$\",\"h2\",\"4\",{\"tabIndex\":\"-1\",\"children\":\"Guest Editors\"}],\"\\n• Tomoya Baba (Research Organization of Information and Systems)\",[\"$\",\"br\",\"6\",{\"className\":\"\",\"children\":\"$undefined\"}],\"• David Castle (University of Victoria)\"]}],\"\\n\",[\"$\",\"div\",\"13\",{\"className\":\"\",\"children\":[\"• Tyng-Ruey Chuang (Academia Sinica)\",[\"$\",\"br\",\"1\",{\"className\":\"\",\"children\":\"$undefined\"}],\"• Masaki Kanao (Research Organization of Information and Systems)\",[\"$\",\"br\",\"3\",{\"className\":\"\",\"children\":\"$undefined\"}],\"• Johnathan Kool (Australian Antarctic Division) \",[\"$\",\"br\",\"5\",{\"className\":\"\",\"children\":\"$undefined\"}],\"• Kassim S. Mwitondi (Sheffield Hallam University) \",[\"$\",\"br\",\"7\",{\"className\":\"\",\"children\":\"$undefined\"}],\"• Yubao Qiu (GEO Cold Regions Initiative)\",[\"$\",\"br\",\"9\",{\"className\":\"\",\"children\":\"$undefined\"}],\"• Juanle Wang (China Academy of Science; Editorial Board of the Data Science Journal) \",[\"$\",\"br\",\"11\",{\"className\":\"\",\"children\":\"$undefined\"}],[\"$\",\"br\",\"12\",{\"className\":\"\",\"children\":\"$undefined\"}],\"\\n\",[\"$\",\"h2\",\"14\",{\"tabIndex\":\"-1\",\"children\":\"Deadline of Expression of Interest: 29 February 2024\"}],\"\\nPlease input your Expression of Interest for the \\\"Special Collection\\\" to the following Google Form:\",[\"$\",\"br\",\"16\",{\"className\":\"\",\"children\":\"$undefined\"}],[\"$\",\"br\",\"17\",{\"className\":\"\",\"children\":\"$undefined\"}],[\"$\",\"a\",\"18\",{\"target\":\"_blank\",\"rel\":\"noopener\",\"className\":\"\",\"href\":\"https://docs.google.com/forms/d/e/1FAIpQLSeENmAbBSBeHgLow5tybfLjYnsudjZZaiKUi1i7Aoz9AR4MhA/viewform\",\"ref\":\"$undefined\",\"children\":\"https://docs.google.com/forms/d/e/1FAIpQLSeENmAbBSBeHgLow5tybfLjYnsudjZZaiKUi1i7Aoz9AR4MhA/viewform\"}],[\"$\",\"br\",\"19\",{\"className\":\"\",\"children\":\"$undefined\"}],[\"$\",\"br\",\"20\",{\"className\":\"\",\"children\":\"$undefined\"}],\"You are required to input the information on “Author(s), Affiliation(s), Contact Address and Tentative Article Title(s)”. This EoI Form will be closed by 29 February 2024.\",[\"$\",\"br\",\"22\",{\"className\":\"\",\"children\":\"$undefined\"}],[\"$\",\"br\",\"23\",{\"className\":\"\",\"children\":\"$undefined\"}],\"\\n\",[\"$\",\"h2\",\"25\",{\"tabIndex\":\"-1\",\"children\":\"Deadline of Article Submission: 31 July 2024\"}],\"\\n\",[\"$\",\"p\",\"27\",{\"children\":\" \"}],\"\\n\",[\"$\",\"h2\",\"29\",{\"tabIndex\":\"-1\",\"children\":\"Final Publishing Online: 31 March 2025 (provisional)\"}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}],\"\\n\"]}]}],[\"$\",\"footer\",null,{\"className\":\"dnRKzu fPSBzf kSmiQp gSKPcF jLcdRN hMdgLl\",\"role\":\"contentinfo\",\"children\":[\"$L28\",[\"$\",\"div\",null,{\"className\":\"AMuyK iBLeSY iiuxGT cWvcLa bFHXRw\",\"children\":[\"Published on \",[\"$\",\"time\",\"time0\",{\"dateTime\":\"2023-12-11T17:38:01.000Z\",\"children\":[\"Dec 11, 2023\"]}]]}]]}]]}]}],[\"$\",\"li\",\"1\",{\"className\":\"dnRyhu dnRyhX fdfVFM jrnjrZ cWkHOC\",\"children\":[\"$\",\"article\",null,{\"role\":\"article\",\"children\":[[\"$\",\"h3\",null,{\"className\":\"xNKXN gsjAMe\",\"children\":\"Special Collection Call for Papers: Data and AI policy, systems, and tools for times of crisis\"}],[\"$\",\"div\",null,{\"className\":\"eSEnRK erRRVO dNXUQo cjzFSm JUYHF bqmeqr bInrdi dCSLQl jhQjpY ibCwtb cEaIEN hpftSi jYADwv fSrteL gCaouQ bpiJH fMDMgT euvmnb dWEByn lhewWf kzWhjJ kGrTuD dINDpi cMEHgi joaZnP ckxHlM enUkly grOQmn gNPIvT jERTDL cwBrTF jCafsy eKfPsn kDvOvm eNYtiW jBYKcI wQfnp juzEmB epmuvM jxASez dxaDoa hAMuHi jBBExG nTSai fRdekv fnFPHJ gJNujC kEWxAo bHjWUJ eMxTUw dlxxQW dvknbV fFtpRP dxzIlt iEgVSh fckrva grndIc kmqrqt krLtwY cCAxWr kVhtyM iztRDP liMYqy ovoga fZVqxR bIDaVq ihfBBT jcxVWj kmBHnL dESszd eubqet kIepeo iacOaP cTSgTJ jLLntq fUakio fwHzea dkXDMO bnuHOn knxlOo gAofhl igxpLC kKUitp klpVDy iLBNjq dwlUMG ixJHCD kyIBgn thMLB iVlhWp jEryfO dPhvLs eGCfDJ kjJSbn bBqmsj xxWbw hxHqQC qmLyI udWtD dLDUgN fNBxGI eFsFfP gKssyu iBLeSY\",\"children\":[[\"$\",\"p\",\"0\",{\"children\":[\"The \",\"$L29\",\" invites researchers, practitioners, policymakers, and stakeholders to contribute to a special collection of articles on ‘Data and AI policy, systems, and tools for times of crisis’. This special collection explores the challenges, opportunities, and innovative approaches related to data policy development and implementation to address crises, such as natural disasters, public health emergencies, humanitarian crises, or other disruptive events.\"]}],\"\\n\",[\"$\",\"p\",\"2\",{\"children\":\"The collection seeks high-quality articles that address various aspects of data and AI policy as well as data and AI systems and tools for crisis situations, encompassing theoretical, empirical, and practical perspectives. We welcome submissions that examine the intersection of data science, policy, and crisis management, shedding light on the ethical, legal, social, and technical dimensions of data governance and utilization.\"}],\"\\n\",[\"$\",\"h2\",\"4\",{\"tabIndex\":\"-1\",\"children\":\"Objectives\"}],\"\\n\",[\"$\",\"p\",\"6\",{\"children\":\"The primary objective of this special collection is to explore the transformative potential of data and AI policy in relation to data and AI systems and tools for crisis management and crisis governance while contributing to building a more resilient and data-driven world. In this context, the special collection will pursue the following specific objectives:\"}],\"\\n\",[\"$\",\"ol\",\"8\",{\"children\":[\"\\n\",[\"$\",\"li\",\"1\",{\"children\":\"examining the scientific, political, and societal frameworks involved in data and AI policy addressing crisis situations;\"}],\"\\n\",[\"$\",\"li\",\"3\",{\"children\":\"exploring the underlying ethical, human rights, and humanitarian frameworks needed to support data and AI policy during crisis situations; and\"}],\"\\n\",[\"$\",\"li\",\"5\",{\"children\":\"supporting the development of systems, tools, and services that promote the responsible practice and use of data and AI when generating scientific evidence in crisis situations and guiding decision making in preparedness and response.\"}],\"\\n\"]}],\"\\n\",[\"$\",\"p\",\"10\",{\"children\":\"Overall this special collection will contribute to advancing knowledge and fostering effective data and AI policy frameworks as well as the data and AI science system and tools that can support decision-making, improve response efforts, and enhance the resilience of first responders and communities in times of crisis.\"}],\"\\n\",[\"$\",\"h2\",\"12\",{\"tabIndex\":\"-1\",\"children\":\"Background\"}],\"\\n\",[\"$\",\"p\",\"14\",{\"children\":\"This special collection is driven and supported by a workstream within the ISC CODATA International Data Policy Committee (IDPC) engaged in analysis, consultation, and the development of position papers on data policy in times of crisis. The IDPC’s work contributes to international efforts in this area focused on the collection, processing, and use of data in situations of natural disaster, health crises, geo-political conflicts, and other disruptive circumstances. It examines the data and AI policy frameworks necessary to ensure that scientific projects, particularly regarding data collection and processing, are viable and relevant to crisis situations while also contributing to scientific results in preparing for, responding to, and recovering from crises.\"}],\"\\n\",[\"$\",\"p\",\"16\",{\"children\":\"Another working group is being established on ‘Data Systems, Tools, and Services for Crisis Situations’ whose mission it is to elucidate scientific as well as the ethical, legal, and social impact (ELSI) features of data systems, tools, and services in relationship to the needs of scientists, policy/decision-makers, emergency responders, media, and affected communities by providing overview of those characteristics and how they are expressed in the architecture, design, interoperability standards, and application of these instruments to crisis situations worldwide.\"}],\"\\n\",[\"$\",\"p\",\"18\",{\"children\":\"The Centre for Science Futures of the International Science Council provides a focal point for discussions on the role of data and AI policy in science in connection with crises.\"}],\"\\n\",[\"$\",\"p\",\"20\",{\"children\":[\"This \",[\"$\",\"em\",\"1\",{\"children\":\"DSJ\"}],\" special collection contributes to the work of these interrelated groups while broadening the scope throughout the communities of stakeholders.\"]}],\"\\n\",[\"$\",\"h2\",\"22\",{\"tabIndex\":\"-1\",\"children\":\"Topics\"}],\"\\n\",[\"$\",\"p\",\"24\",{\"children\":\"Topics of interest for this special collection include the following:\"}],\"\\n\",[\"$\",\"ol\",\"26\",{\"children\":[\"\\n\",[\"$\",\"li\",\"1\",{\"children\":\"Approaches to data and AI quality, data reliability, and data integrity during times of crisis\"}],\"\\n\",[\"$\",\"li\",\"3\",{\"children\":\"Policy frameworks for data management and sharing during crises\"}],\"\\n\",[\"$\",\"li\",\"5\",{\"children\":\"Data and AI governance models and institutional arrangements in the context of crises\"}],\"\\n\",[\"$\",\"li\",\"7\",{\"children\":\"Ethical considerations and guidelines for responsible data collection, analysis, and (re)use in crisis situations\"}],\"\\n\",[\"$\",\"li\",\"9\",{\"children\":\"Data privacy, security, and protection in crisis preparation, response, and recovery efforts\"}],\"\\n\",[\"$\",\"li\",\"11\",{\"children\":\"Consent for the use of data and AI in times of crisis\"}],\"\\n\",[\"$\",\"li\",\"13\",{\"children\":\"Open data initiatives and practices for enhanced crisis preparedness and response\"}],\"\\n\",[\"$\",\"li\",\"15\",{\"children\":[\"Data and AI policy topics related to open science, including the UNESCO \",[\"$\",\"em\",\"1\",{\"children\":\"Declaration on Open Science\"}],\", African Open Science Platform, Global Open Science Cloud (GOSC), China Science and Technology Cloud (CSTCloud), Australian Research Data Commons (ARDC), Open Science Framework, European Open Science Cloud (EOSC)\"]}],\"\\n\",[\"$\",\"li\",\"17\",{\"children\":\"How data and AI policy contribute to the alignment of human rights and fundamental freedoms while supporting humanitarian principles, such as humanity, impartiality, neutrality, and independence.\"}],\"\\n\",[\"$\",\"li\",\"19\",{\"children\":\"Policy as it relates to data, AI, system, and tool interoperability, integration, and standardization in crisis management and crisis governance systems\"}],\"\\n\",[\"$\",\"li\",\"21\",{\"children\":\"Community engagement, participation, and empowerment in data policy development for crises\"}],\"\\n\",[\"$\",\"li\",\"23\",{\"children\":\"Legal and regulatory challenges and solutions for data utilization during crises\"}],\"\\n\",[\"$\",\"li\",\"25\",{\"children\":\"Technological advancements and tools supporting data and AI policy in crisis management\"}],\"\\n\",[\"$\",\"li\",\"27\",{\"children\":\"Impact evaluation, lessons learned, and best practices in data policy implementation during crises\"}],\"\\n\"]}],\"\\n\",[\"$\",\"p\",\"28\",{\"children\":\"Authors are encouraged to present case studies, theoretical frameworks, policy analyses, empirical studies, and practical experiences that contribute to the understanding and advancement of data policy in crisis situations.\"}],\"\\n\",[\"$\",\"h2\",\"30\",{\"tabIndex\":\"-1\",\"children\":\"About the Data Science Journal\"}],\"\\n\",[\"$\",\"p\",\"32\",{\"children\":[\"The CODATA \",[\"$\",\"em\",\"1\",{\"children\":\"Data Science Journal\"}],\" (DSJ) is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.\"]}],\"\\n\",[\"$\",\"p\",\"34\",{\"children\":[\"As with all \",[\"$\",\"em\",\"1\",{\"children\":\"DSJ\"}],\" articles, submissions to this special collection will undergo a rigorous peer review process to ensure scholarly quality and relevance.\"]}],\"\\n\",[\"$\",\"h2\",\"36\",{\"tabIndex\":\"-1\",\"children\":\"Collection editors (in alphabetical order)\"}],\"\\n\",[\"$\",\"p\",\"38\",{\"children\":\"Burçak Başbuğ Erkan, Gnana Bharathy, Paul Box, Francis P. Crawley, Mathieu Denis, Perihan Elif Ekmekci, Simon Hodson, Stefanie Kethers, Virginia Murray, Hans Pfeiffenberger, Lili Zhang\"}],\"\\n\",[\"$\",\"h2\",\"40\",{\"tabIndex\":\"-1\",\"children\":\"Submission and dates\"}],\"\\n\",[\"$\",\"p\",\"42\",{\"children\":[\"Please review carefully the \",[\"$\",\"em\",\"1\",{\"children\":\"DSJ\"}],\" \",\"$L2a\",\" and \",\"$L2b\",\" when preparing your manuscript for review. Submissions must be of high scientific quality and prepared with attention to correct English grammar and usage requirements.\"]}],\"\\n\",[\"$\",\"ul\",\"44\",{\"children\":[\"\\n\",[\"$\",\"li\",\"1\",{\"children\":[[\"$\",\"u\",\"0\",{\"children\":\"Submission \"}],[\"$\",\"u\",\"1\",{\"children\":\"deadline\"}],\": accepted contributions will be published on a rolling basis spread across issues of the \",[\"$\",\"em\",\"3\",{\"children\":\"DSJ\"}],\". Submissions close on Friday 28 June 2024\"]}],\"\\n\",[\"$\",\"li\",\"3\",{\"children\":[[\"$\",\"u\",\"0\",{\"children\":\"Expected \"}],[\"$\",\"u\",\"1\",{\"children\":\"publication\"}],\": expect a four-week period for peer-review upon submission. Accepted papers will be published based on the \",[\"$\",\"em\",\"3\",{\"children\":\"DSJ\"}],\" issue space availability and publication schedule.\"]}],\"\\n\"]}],\"\\n\",[\"$\",\"p\",\"46\",{\"children\":[\"For more information on the special issue, you may contact the journal editors through this \",\"$L2c\",\".\"]}]]}],[\"$\",\"footer\",null,{\"className\":\"dnRKzu fPSBzf kSmiQp gSKPcF jLcdRN hMdgLl\",\"role\":\"contentinfo\",\"children\":[\"$L2d\",[\"$\",\"div\",null,{\"className\":\"AMuyK iBLeSY iiuxGT cWvcLa bFHXRw\",\"children\":[\"Published on \",[\"$\",\"time\",\"time0\",{\"dateTime\":\"2023-12-05T20:26:30.000Z\",\"children\":[\"Dec 5, 2023\"]}]]}]]}]]}]}],[\"$\",\"li\",\"2\",{\"className\":\"dnRyhu dnRyhX fdfVFM jrnjrZ cWkHOC\",\"children\":[\"$\",\"article\",null,{\"role\":\"article\",\"children\":[[\"$\",\"h3\",null,{\"className\":\"xNKXN gsjAMe\",\"children\":\"Call for Papers: Data Science and Machine Learning for Cybersecurity\"}],[\"$\",\"div\",null,{\"className\":\"eSEnRK erRRVO dNXUQo cjzFSm JUYHF bqmeqr bInrdi dCSLQl jhQjpY ibCwtb cEaIEN hpftSi jYADwv fSrteL gCaouQ bpiJH fMDMgT euvmnb dWEByn lhewWf kzWhjJ kGrTuD dINDpi cMEHgi joaZnP ckxHlM enUkly grOQmn gNPIvT jERTDL cwBrTF jCafsy eKfPsn kDvOvm eNYtiW jBYKcI wQfnp juzEmB epmuvM jxASez dxaDoa hAMuHi jBBExG nTSai fRdekv fnFPHJ gJNujC kEWxAo bHjWUJ eMxTUw dlxxQW dvknbV fFtpRP dxzIlt iEgVSh fckrva grndIc kmqrqt krLtwY cCAxWr kVhtyM iztRDP liMYqy ovoga fZVqxR bIDaVq ihfBBT jcxVWj kmBHnL dESszd eubqet kIepeo iacOaP cTSgTJ jLLntq fUakio fwHzea dkXDMO bnuHOn knxlOo gAofhl igxpLC kKUitp klpVDy iLBNjq dwlUMG ixJHCD kyIBgn thMLB iVlhWp jEryfO dPhvLs eGCfDJ kjJSbn bBqmsj xxWbw hxHqQC qmLyI udWtD dLDUgN fNBxGI eFsFfP gKssyu iBLeSY\",\"children\":[[\"$\",\"p\",\"0\",{\"children\":\"Manuscript Submission Deadline: April 30, 2023\"}],\"\\n\",[\"$\",\"p\",\"2\",{\"children\":\"Recent changes in data science are transforming cybersecurity in a computing context. Applied science is the process of applying scientific methods, machine learning techniques, processes, and systems to data. While Cybersecurity Data Science (CSDS) enables more actionable and intelligent computing in the domain of cybersecurity as compared to traditional methods. It encompasses the rapidly growing practice of applying data science to prevent, detect, and remediate cybersecurity threats.\"}],\"\\n\",[\"$\",\"p\",\"4\",{\"children\":\"Cybersecurity data science is a fast-developing field that uses data science techniques to address cybersecurity issues. Data-driven, statistical, and analytical methodologies are increasingly used to close security holes. It examines the healthcare, transportation, surveillance, social media, and law enforcement sectors, in order to evaluate the specific issues they pose and how they can be addressed.\"}],\"\\n\",[\"$\",\"p\",\"6\",{\"children\":\"Cybersecurity data science is the focus of this special issue, with analytics supporting the most recent trends to optimize security solutions. The data is acquired from reliable cybersecurity sources. Using machine learning, the problem also aims to develop a multi-layered cybersecurity modeling framework. Data-driven intelligent decision-making can help defend systems against cyberattacks as we address cybersecurity data science and pertinent methodologies.\"}],\"\\n\",[\"$\",\"ul\",\"8\",{\"children\":[\"\\n\",[\"$\",\"li\",\"1\",{\"children\":\"Potential topics include, but are not limited to:\"}],\"\\n\",[\"$\",\"li\",\"3\",{\"children\":\"Cloud-based cybersecurity analytics\"}],\"\\n\",[\"$\",\"li\",\"5\",{\"children\":\"Real-time IoT/endpoint-based detection\"}],\"\\n\",[\"$\",\"li\",\"7\",{\"children\":\"Deep learning and reinforcement learning\"}],\"\\n\",[\"$\",\"li\",\"9\",{\"children\":\"Human-in-the-loop cyclical machine learning\"}],\"\\n\",[\"$\",\"li\",\"11\",{\"children\":\"Adversarial attacks on machine learning systems\"}],\"\\n\",[\"$\",\"li\",\"13\",{\"children\":\"AI-driven fake news and disinformation campaigns\"}],\"\\n\",[\"$\",\"li\",\"15\",{\"children\":\"Cybercrime analysis, intelligence, and security\"}],\"\\n\",[\"$\",\"li\",\"17\",{\"children\":\"Big crime data science algorithms and open-source situational awareness\"}],\"\\n\",[\"$\",\"li\",\"19\",{\"children\":\"Misinformation and hate speech detection and mitigation\"}],\"\\n\",[\"$\",\"li\",\"21\",{\"children\":\"Data-driven cyber knowledge base development\"}],\"\\n\",[\"$\",\"li\",\"23\",{\"children\":\"Data Science to demonstrate cyber weakness\"}],\"\\n\",[\"$\",\"li\",\"25\",{\"children\":\"Robustness and interpretability in ML for security tasks\"}],\"\\n\"]}],\"\\n\",[\"$\",\"p\",\"10\",{\"children\":\"Special Collection Editors:\"}],\"\\n\",[\"$\",\"p\",\"12\",{\"children\":\"Zhenfeng Liu, Shanghai Maritime University\"}],\"\\n\",[\"$\",\"p\",\"14\",{\"children\":\"Xiaogang Ma, University of Idaho\"}],\"\\n\",[\"$\",\"p\",\"16\",{\"children\":\"Anwar Vahed, Data Intensive Research Initiative of South Africa\"}]]}],[\"$\",\"footer\",null,{\"className\":\"dnRKzu fPSBzf kSmiQp gSKPcF jLcdRN hMdgLl\",\"role\":\"contentinfo\",\"children\":[\"$L2e\",[\"$\",\"div\",null,{\"className\":\"AMuyK iBLeSY iiuxGT cWvcLa bFHXRw\",\"children\":[\"Published on \",[\"$\",\"time\",\"time0\",{\"dateTime\":\"2023-02-06T00:00:00.000Z\",\"children\":[\"Feb 6, 2023\"]}]]}]]}]]}]}]]}],\"$L2f\"]}]\n"])</script><script>self.__next_f.push([1,"11:null\n12:null\n"])</script><script>self.__next_f.push([1,"19:[\"$\",\"$L30\",null,{\"children\":[[\"$\",\"$L31\",null,{\"navigation\":[{\"id\":31,\"path\":\"#\",\"title\":\"About\",\"has_content\":false,\"children\":[{\"id\":32,\"path\":\"/about\",\"title\":\"About the Journal\",\"has_content\":false,\"children\":[]},{\"id\":33,\"path\":\"/about/editorialteam\",\"title\":\"Editorial Team\",\"has_content\":false,\"children\":[]},{\"id\":34,\"path\":\"/about/editorialpolicies\",\"title\":\"Editorial 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id=\"focusAndScope\"\u003e\n\u003ch2\u003eFocus and Scope\u003c/h2\u003e\n\u003cp\u003eThe \u003cem\u003eData Science Journal \u003c/em\u003e(DSJ) was founded in 2002 to help build knowledge and understanding of how data practices can advance research and human knowledge.\u003c/p\u003e\n\u003cp\u003eRecent decades have seen an unprecedented explosion in the human capacity to acquire, store, and manipulate data and information. We are experiencing an historic revolution in knowledge creation, communication, and utilisation. DSJ explores what that means for the conduct of research and data management. We regard data science as the \u0026lsquo;science of data\u0026rsquo; \u0026mdash; the evidence-based study of the socio-technical developments and transformations that affect science policy; the conduct and methods of research; and the data systems, standards, and infrastructure that are integral to research.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA central goal of DSJ is to ensure that data are used in the most effective, efficient, and ethical way in promoting knowledge and learning. It is a peer-reviewed, open-access, electronic journal that is relevant to all sciences as well as the empirical humanities. The scope of the journal includes descriptions of data systems; their implementations, applications, infrastructures, software, legal, reproducibility, and transparency issues; the availability and usability of complex datasets; and with a particular focus on the principles, policies, and practices for data preservation and reuse.\u003c/p\u003e\n\u003cp\u003eOur focus is on data, notably research data. DSJ articles should faithfully represent data as an important topic in the research, discussion, or analysis \u0026mdash; how data is part of a problem, solution or both. Related, cross-cutting topics may also be relevant. Machine learning, cybersecurity, differential privacy, and analytics-based optimization are within scope of DSJ, provided that the focus is on how data act as the input fuel for the algorithms, the test sets for the algorithms, the validation sets for the algorithms (performance metrics), and the real-world outputs (classifications, diagnoses, decisions, predictions, optimizations) from the algorithms. Similarly, the DSJ deems data-intensive and/or data-related scientific computing, which of course is a natural component of simulation, modeling, and visualization, as being in scope, if the focus is on data aspects of the issue.\u003c/p\u003e\n\u003cp\u003eAlso in scope is Data Science Education content (e.g., research and insights into Data Dexterity and Analytics Training in different disciplines).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eFor all of these topics, an \u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u003cem\u003eattempt to generalise their significance\u0026nbsp;should be included in the submission.\u0026nbsp;\u0026nbsp;They should not just present a solution or an enquiry into a unitary problem but make an effort to\u0026nbsp;demonstrate wider significance and application and say something more about the \u0026lsquo;science of data\u0026rsquo; more generally.\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data are in scope, whether born digital or converted from other sources, and all research disciplines are covered. The science of data is a cross-domain, cross-discipline topic, with common issues, regardless of the domain the data themselves serve.\u003c/p\u003e\n\u003cp\u003eThe \u003cem\u003eData Science Journal\u003c/em\u003e publishes a variety of article types (research articles, practice papers, review articles, and essays).\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTypes of article:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResearch articles\u003c/strong\u003e must describe the outcomes and application of unpublished original research. These should make a substantial contribution to knowledge and understanding in the subject matter and should be supported by relevant figures and tabulated data. Research articles should be no more than 8,000 words in length. Data and software supporting the research should be formally cited and available through a trusted repository.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePractice papers\u003c/strong\u003e should report upon or critique a specific \"happening\" such as a release of a major study or other notable occurrence related to the journal focus. Authors interested in submitting a practice paper should discuss the content with the editor before submitting a manuscript. Practice papers should describe the finished outputs of a project, or the procedures in operation in an established data system. Practice papers should be no longer than 3,000 words in length.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eReview articles\u003c/strong\u003e can cover topics such as current controversies, the current \u0026ldquo;state of the art\u0026rdquo; or the historical development of studies as well as issues of regional or temporal focus. Papers should critically engage with the relevant body of extant literature. Review articles should be no longer than 3,000 words in length.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEssays\u003c/strong\u003e cover topics and controversies of interest to the community and aim to stimulate discussion and debate. Essays may be provocative and less focused on reporting original research work but should still consist of original thoughts and ideas. Essays should be no longer than 3,000 words in length.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"publicationFrequency\"\u003e\n\u003ch2\u003ePublication Frequency\u003c/h2\u003e\n\u003cp\u003eThe journal is published online as a continuous volume and issue throughout the year. Articles are made available as soon as they are ready to ensure that there are no unnecessary delays in getting content\u0026nbsp; publically available.\u003c/p\u003e\n\u003cp\u003eSpecial collections of articles are welcomed and will be published as part of the normal issue, but also within a separate collection page. See our \u003ca href=\"https://ubiquitypress.com/site/special-collections/\" target=\"_blank\" rel=\"noopener\"\u003especial collections guidelines\u003c/a\u003e for more information.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"openAccessPolicy\"\u003e\n\u003ch2\u003eOpen Access Policy\u003c/h2\u003e\n\u003cp\u003eThis journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.\u0026nbsp;There is no embargo on the journal\u0026rsquo;s publications. Submission and acceptance dates, along with publication dates, are made available on the PDF format for each paper.\u003c/p\u003e\n\u003cp\u003eAuthors of articles published remain the copyright holders and grant third parties the right to use, reproduce, and share the article according to the \u003ca href=\"https://creativecommons.org/licenses/by/4.0/\" target=\"_blank\" rel=\"noopener\"\u003eCreative Commons license agreement\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eAuthors are encouraged to publish their data in recommended repositories. For a list of generic and subject specific repositories that meet our peer review criteria, see\u0026nbsp;\u003ca href=\"http://oad.simmons.edu/oadwiki/Data_repositories\" target=\"_blank\" rel=\"noopener\"\u003ehere\u003c/a\u003e.\u003c/p\u003e\n\u003ch2\u003eIndexing, Archiving and Dissemination\u003c/h2\u003e\n\u003cp\u003eUbiquity is committed to making content discoverable and accessible through indexing services. As such all content is archived around the world to ensure long-term availability.\u003c/p\u003e\n\u003cp\u003eUbiquity supports open and transparent practices in scholarly research and is a signatory of \u003ca href=\"https://sfdora.org/\"\u003eThe Declaration on Research Assessment (DORA)\u003c/a\u003e, a global initiative to improve the ways in which researchers and the outputs of scholarly research are evaluated. In accordance with DORA, Ubiquity makes available a range of article and journal-level metrics to avoid over-reliance on any single assessment tool.\u003c/p\u003e\n\u003cp\u003eOur journals use \u003ca href=\"https://metrics.operas-eu.org/\"\u003eOPERAS metrics\u003c/a\u003e - an open source platform that Ubiquity has helped develop as part of the \u003ca href=\"https://operas.hypotheses.org/projects/hirmeos\"\u003eHIRMEOS project\u003c/a\u003e, originating from the European Union's Horizon 2020 research and innovation programme. OPERAS metrics provides a comprehensive and transparent mechanism for collecting and aggregating article usage metrics.\u003c/p\u003e\n\u003cp\u003eJournal statistics (including submission numbers, the acceptance rate, and turnaround times) are provided and updated annually.\u003c/p\u003e\n\u003chr /\u003e\n\u003ch3\u003eEvaluation and Impact\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eDirectory of Open Access Journals (DOAJ)\u003c/strong\u003e:\u0026nbsp;Seal of Approval\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eScopus CiteScore\u003c/strong\u003e: 5.4 - 28/133 in Computer Science (miscellaneous) (2023)\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eScimago H-index\u003c/strong\u003e: 28 (2023)\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eScimago Journal Rank (SJR)\u003c/strong\u003e: 1.29 (2023)\u003c/li\u003e\n\u003c/ul\u003e\n\u003chr /\u003e\n\u003ch3\u003eIndexing and Discoverability\u003c/h3\u003e\n\u003cp\u003eThe journal is indexed by the following services:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https://mjl.clarivate.com\" target=\"_blank\" rel=\"noopener\"\u003eWeb of Science \u003c/a\u003e(Emerging Sources Citation Index)\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.scopus.com/sourceid/4700152809\" target=\"_blank\" rel=\"noopener\"\u003eScopus\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://doaj.org/toc/1683-1470\" target=\"_blank\" rel=\"noopener\"\u003eDirectory of Open Access Journals\u003c/a\u003e\u0026nbsp;(DOAJ)\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://kanalregister.hkdir.no/publiseringskanaler/KanalTidsskriftInfo.action?id=439788\" target=\"_blank\" rel=\"noopener\"\u003eNorwegian Register for Scientific Journals\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.bdslive.com/\" target=\"_blank\" rel=\"noopener\"\u003eBDS Bibliographic Data Services\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://journalfinder.chronoshub.io/\" target=\"_blank\" rel=\"noopener\"\u003eChronos\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://oversea.cnki.net/index/\" target=\"_blank\" rel=\"noopener\"\u003eCNKI\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.ebsco.com/products/ebsco-knowledge-services\" target=\"_blank\" rel=\"noopener\"\u003eEBSCO (Host and Knowledge Base)\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.exlibrisgroup.com/\" target=\"_blank\" rel=\"noopener\"\u003eEx Libris\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://scholar.google.com/\" target=\"_blank\" rel=\"noopener\"\u003eGoogle Scholar\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://jgateplus.com/home/\" target=\"_blank\" rel=\"noopener\"\u003eJ-Gate\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.oclc.org/en/home.html\" target=\"_blank\" rel=\"noopener\"\u003eOCLC\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://explore.openaire.eu/\" target=\"_blank\" rel=\"noopener\"\u003eOpenAIRE\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eAdditionally, the journal is registered with \u003ca href=\"https://sherpa.ac.uk/id/publication/30688\" target=\"_blank\" rel=\"noopener\"\u003eSherpa Romeo\u003c/a\u003e, and all article metadata and references are deposited with \u003ca href=\"https://www.crossref.org/\" target=\"_blank\" rel=\"noopener\"\u003eCrossref\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eAs the journal grows, additional indexes will be added. If the journal is not indexed by your preferred service, please \u003ca href=\"/contact/\" target=\"_blank\" rel=\"noopener\"\u003econtact us\u003c/a\u003e or alternatively by making an indexing request directly with the service.\u003c/p\u003e\n\u003ch3\u003eArchiving\u003c/h3\u003e\n\u003cp\u003eTo ensure permanency of all publications, this journal also utilises \u003ca href=\"http://www.clockss.org\"\u003eCLOCKSS\u003c/a\u003e, and \u003ca href=\"http://www.lockss.org/\"\u003eLOCKSS\u003c/a\u003e\u0026nbsp;archiving systems to create permanent archives for the purposes of preservation and restoration.\u003c/p\u003e\n\u003cp\u003eIn addition, the journal is available for harvesting via \u003ca href=\"http://www.openarchives.org/pmh/\"\u003eOAI-PMH\u003c/a\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003c!-- CLOCKSS system has permission to ingest, preserve, and serve this Archival Unit --\u003e\u003c/p\u003e\n\u003cdiv id=\"custom-0\"\u003e\n\u003ch2\u003eJournal Statistics\u003c/h2\u003e\n\u003cp\u003eCore journal statistics for the 2023 volume:\u003c/p\u003e\n\u003ctable style=\"width: 90%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubmissions received\u003csup\u003e1\u003c/sup\u003e\u003c/td\u003e\n\u003ctd\u003e136\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReviews requested\u003csup\u003e2\u003c/sup\u003e\u003c/td\u003e\n\u003ctd\u003e396\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReviews received\u003csup\u003e3\u003c/sup\u003e\u003c/td\u003e\n\u003ctd\u003e208\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal Rejections\u003csup\u003e4\u003c/sup\u003e\u003c/td\u003e\n\u003ctd\u003e102\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e...of which, Desk rejects\u003csup\u003e5\u003c/sup\u003e\u003c/td\u003e\n\u003ctd\u003e85\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcceptances\u003csup\u003e6\u003c/sup\u003e\u003c/td\u003e\n\u003ctd\u003e49\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcceptance rate\u003csup\u003e7\u003c/sup\u003e\u003c/td\u003e\n\u003ctd\u003e32%\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTime from submission to publication\u003csup\u003e8\u003c/sup\u003e\u003c/td\u003e\n\u003ctd\u003e262 days\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDefinitions\u003c/strong\u003e\u003cbr /\u003e\u003csup\u003e1\u003c/sup\u003eNumber of new articles received by the journal\u003cbr /\u003e\u003csup\u003e2\u003c/sup\u003eNumber of peer review invitation emails that were sent out\u003cbr /\u003e\u003csup\u003e3\u003c/sup\u003eNumber of completed peer review reports received\u003cbr /\u003e\u003csup\u003e4\u003c/sup\u003eTotal number of articles rejected (including desk rejects)\u003cbr /\u003e\u003csup\u003e5\u003c/sup\u003eNumber of articles rejected prior to peer review\u003cbr /\u003e\u003csup\u003e6\u003c/sup\u003eNumber of articles that received a 'Accept for publication' decision\u003cbr /\u003e\u003csup\u003e7\u003c/sup\u003eNumber of acceptances, as a percentage, against the total number of final decisions\u003cbr /\u003e\u003csup\u003e8\u003c/sup\u003e'Mean' average from submission to publication for all publications in the volume\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"custom-1\"\u003e\n\u003ch2\u003ePublication Ethics\u003c/h2\u003e\n\u003cp\u003eData Science Journal welcomes suggestions for special issues or conference proceedings focusing on specific topics within the journal's\u0026nbsp;\u003ca href=\"/about/#focus-and-scope\" target=\"_blank\" rel=\"noopener\"\u003escope\u003c/a\u003e. For more information about publishing a special issue with us, please contact the\u0026nbsp;\u003ca href=\"mailto:editor@codata.org\"\u003eEditor-in-Chief,\u0026nbsp;Mark Parsons.\u003c/a\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eUbiquity Press, the journal\u0026rsquo;s publisher, is a member of the\u0026nbsp;\u003ca href=\"http://publicationethics.org/\" target=\"_blank\" rel=\"noopener\"\u003eCommittee on Publication Ethics\u0026nbsp;\u003c/a\u003e\u0026nbsp;(COPE), the\u0026nbsp;\u003ca href=\"http://oaspa.org/\" target=\"_blank\" rel=\"noopener\"\u003eOpen Access Scholarly Publishers Association\u003c/a\u003e\u0026nbsp;(OASPA), and the\u0026nbsp;\u003ca href=\"https://www.alpsp.org/\" target=\"_blank\" rel=\"noopener\"\u003eAssociation of Learned and Professional Society Publishers\u003c/a\u003e\u0026nbsp;(ALPSP). The Press recognises its responsibility as a guardian of the scholarly record and takes an active role in establishing standards and policies in publication ethics.\u003c/p\u003e\n\u003cp\u003eThe Editors have committed to maintaining high editorial standards through rigorous peer review and strict ethical policies. The Editors follow the COPE code of conduct and refer to COPE for guidance as appropriate. The journal and the publisher ensure that advertising and commercial interests do not impact or influence editorial decisions.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"custom-2\"\u003e\n\u003ch2\u003eSpecial Issues\u003c/h2\u003e\n\u003cp\u003eData Science Journal welcomes suggestions for special issues or conference proceedings focusing on specific topics within the journal's\u0026nbsp;\u003ca href=\"/about/#focus-and-scope\" target=\"_blank\" rel=\"noopener\"\u003escope\u003c/a\u003e.\u0026nbsp; See our \u003ca href=\"https://ubiquitypress.com/site/special-collections/\" target=\"_blank\" rel=\"noopener\"\u003especial collections guidelines\u003c/a\u003e for more information.\u003c/p\u003e\n\u003cp\u003eFor more information about publishing a special issue with us, please\u0026nbsp;contact the\u0026nbsp;\u003ca href=\"mailto:editor@codata.org\"\u003eEditor-in-Chief,\u0026nbsp;Mark Parsons.\u003c/a\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"custom-3\"\u003e\n\u003ch2\u003eAnnotation and post-publication comment\u003c/h2\u003e\n\u003cp\u003eThe journal platform permits readers to leave comments and in-browser annotations via \u003ca href=\"https://web.hypothes.is/\" target=\"_blank\" rel=\"noopener\"\u003ehypothes.is\u003c/a\u003e. Readers will require a\u0026nbsp;\u003ca href=\"https://web.hypothes.is/\" target=\"_blank\" rel=\"noopener\"\u003ehypothes.is\u003c/a\u003e account to create annotations, and will have the option to make these public or private.\u0026nbsp;Comments may be moderated by the journal, however, if they are non-offensive and relevant to the publication subject, comments will remain online without edit.\u003c/p\u003e\n\u003ch2\u003eAdvertisement Policy\u003c/h2\u003e\n\u003cp\u003eThe journal only displays advertisements that are of relevance to its scope and will be of interest to the readership (e.g. upcoming conferences). All advertising space is provided free of charge and the editor and publisher have the right to decline or withdraw adverts at any point. Adverts will include a text heading to make it clear that they are adverts not related to the journal.\u003c/p\u003e\n\u003cp\u003eIf you wish to propose a potential advert then please \u003ca href=\"https://datascience.codata.org/contact\"\u003econtact the\u0026nbsp;editorial team\u003c/a\u003e. All advert images will have to be provided to the publisher.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"sponsors\"\u003e\n\u003ch2\u003eSponsors\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"http://www.codata.org/\"\u003eCODATA\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"contributors\"\u003e\u0026nbsp;\u003c/div\u003e\n\u003cdiv id=\"history\"\u003e\n\u003ch2\u003eJournal History\u003c/h2\u003e\n\u003cp\u003eData Science Journal was transferred to Ubiquity Press in 2015.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"ownership\"\u003e\n\u003ch2\u003eJournal Ownership\u003c/h2\u003e\n\u003cp\u003eOwnership of the Journal title and all associated branding and intellectual property is held by CODATA - The Committee on Data of the International Science Council. The journal website design and associated technical infrastructure to host the journal is retained by Ubiquity Press Ltd.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"lockssLicense\"\u003e\n\u003cp\u003e\u003c!-- CLOCKSS system has permission to ingest, preserve, and serve this Archival Unit --\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003c/div\u003e"])</script><script>self.__next_f.push([1,"3a:Tb2c,"])</script><script>self.__next_f.push([1,"\u003cp\u003e\u003cem\u003e\u003cem\u003eData Science Journal\u003c/em\u003e \u003c/em\u003eoperates a two-stage, single-blind peer review process. The author and reviewer should be anonymous at all stages of the review. After accepting the invitation to complete the review of this article, please refer to the information set out below to assist you in your feedback. The peer review form is available above (section 5). You can also upload additional files containing further comments relevant to the review on this page:\u003c/p\u003e\u003cp\u003eGeneral guide to aid the review:\u003c/p\u003e\u003cp\u003e\u003cstrong\u003e1) General comments and summary of recommendation\u003c/strong\u003e\u003cbr /\u003eDoes the article fit within the scope of the journal? To read more on the journal scope, please visit: \u003cem\u003e\u003ca title=\"datascience.codata.org/about\" href=\"/jms/manager/setup/datascience.codata.org/about\" target=\"_blank\"\u003e\u003cem\u003edatascience.codata.org/about\u003c/em\u003e\u003c/a\u003e \u003c/em\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003e\u003c/strong\u003e \u003cstrong\u003e2) Content:\u003c/strong\u003e\u003cbr /\u003e Please consider the originality, relevance and rigour of the submission and the author’s depth of understanding of the issues being researched. Please comment on the adequacy of the author’s referencing and whether or not the existing knowledge base has been explored and built upon. Please comment on methodologies used and their appropriateness, and the author’s use of the evidential base. Does the conclusion reflect the argument in the main body text and bring something new to the debate?\u003c/p\u003e\u003cp\u003e\u003cstrong\u003e3) Structure and argument:\u003c/strong\u003e\u003cbr /\u003ePlease consider whether the abstract summarises the arguments in a succinct and accurate way. Is the manuscript logically structured and do the arguments flow coherently? Is there enough reference to methodology in the introduction and are the arguments fully evidenced and substantiated ? Does the introduction signpost the arguments in the logical way and does the conclusion adequately summarise them?\u003c/p\u003e\u003cp\u003e\u003cstrong\u003e4) Figures/tables:\u003c/strong\u003e\u003cbr /\u003ePlease comment on the author’s use of tables, charts, figures or maps – their relevance in terms of illustrating the arguments and supporting the evidential base, the quality of the formatting and presentation.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003e5) Formatting\u003c/strong\u003e: does the submitted file adhere to the general author guidelines listed for the journal (view here: \u003ca href=\"/about/submissions/\" target=\"_blank\"\u003ehttp://datascience.codata.org/about/submissions/\u003c/a\u003e)? Are the citations and references formatted to house-style?\u003c/p\u003e\u003cp\u003e\u003cstrong\u003e5) Language:\u003c/strong\u003e\u003cbr /\u003eIs the text well written and jargon free? Please comment on the quality of English and need for grammatical improvement\u003c/p\u003e\u003cp\u003eProvide comments and suggestions for improvement, if required, with additional references or possible clarification of arguments, etc. \u003cstrong\u003eYou can also add comments to the text of the article and upload your comments, if you see fit\u003c/strong\u003e.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"10:[\"$\",\"section\",null,{\"className\":\"ljXGdG fdfVFM jrnjrZ cWkHOC cnsCBk fEzDZB\",\"data-no-padding\":true,\"children\":[\"$\",\"$L38\",null,{\"journal\":{\"title\":\"Data Science Journal\",\"subtitle\":\"\",\"initials\":\"DSJ\",\"abbreviation\":\"CODATA\",\"description\":\"\u003cp\u003e\u003cspan style=\\\"line-height: 1.42857143;\\\"\u003eThe CODATA \u003c/span\u003e\u003cem style=\\\"line-height: 1.42857143;\\\"\u003eData Science Journal\u003c/em\u003e\u003cspan style=\\\"line-height: 1.42857143;\\\"\u003e is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.\u003c/span\u003e\u003c/p\u003e\\n\u003cp\u003eAll data is in scope, whether born digital or converted from other sources.\u003c/p\u003e\",\"focus_scope\":\"$39\",\"editorial_policies\":\"\",\"review_guidelines\":\"$3a\",\"archiving\":\"\",\"eissn\":\"1683-1470\",\"print_issn\":\"\",\"terms_conditions\":\"\",\"privacy_policy\":\"\u003cp\u003eThe names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.\u003c/p\u003e\",\"published_by\":\"Ubiquity Press\",\"publisher_url\":\"http://www.ubiquitypress.com\",\"cover\":{\"link\":\"https://storage.googleapis.com/jnl-up-j-dsj-public/journals/1/journalCoverImage_en_US.jpg\",\"alt_text\":\"Cover Image\"},\"submission_disabled\":false,\"jpps_badge_enabled\":false,\"jpps_path\":\"\",\"jol\":\"\",\"thumbnail\":{\"link\":\"https://storage.googleapis.com/jnl-up-j-dsj-public/journals/1/journalThumbnail_en_US.jpg\",\"alt_text\":\"thumbnail image\"},\"favicon\":{\"link\":\"https://storage.googleapis.com/jnl-up-j-dsj-public/journals/1/favicon_en_US.png\",\"alt_text\":\"ubiquity favicon\"},\"colors\":{\"primary\":\"#2D5A8B\",\"secondary\":\"#2D5A8B\"},\"google_analytics\":null,\"has_dois\":true,\"language\":{\"default_lang\":\"en_US\",\"supported\":[\"en_US\"]},\"sections\":[{\"name\":\"Research Papers\",\"id\":2,\"order\":2,\"policy\":{\"open_submissions\":true,\"indexed\":true,\"peer_reviewed\":true,\"only_editors\":false,\"text\":\"\u003cp\u003eResearch articles must describe the outcomes and application of unpublished original research. These should make a substantial contribution to knowledge and understanding in the subject matter and should be supported by relevant figures and tabulated data. Research articles should be no more than 8,000 words in length. Data and software supporting the research should be formally cited and available through a trusted repository.\u003c/p\u003e\",\"display\":true}},{\"name\":\"Proceedings Papers\",\"id\":3,\"order\":3,\"policy\":{\"open_submissions\":true,\"indexed\":false,\"peer_reviewed\":true,\"only_editors\":true,\"text\":\"Possibly only in use for archive content (pre-May 2015)\",\"display\":false}},{\"name\":\"Practice Papers\",\"id\":4,\"order\":4,\"policy\":{\"open_submissions\":true,\"indexed\":true,\"peer_reviewed\":true,\"only_editors\":false,\"text\":\"\u003cp\u003ePractice papers should report upon or critique a specific \\\"happening\\\" such as a release of a major study or other notable occurrence related to the journal focus. Authors interested in submitting a practice paper should discuss the content with the editor before submitting a manuscript. Practice papers should describe the finished outputs of a project, or the procedures in operation in an established data system. Practice papers should be no longer than 3,000 words in length.\u003c/p\u003e\",\"display\":true}},{\"name\":\"Data Articles\",\"id\":5,\"order\":5,\"policy\":{\"open_submissions\":true,\"indexed\":true,\"peer_reviewed\":true,\"only_editors\":true,\"text\":\"\u003cp\u003eData Articles should present data of interest to the community, giving details of the how, when and why the dataset was collected in a structured and standardized way (taking into account discipline-based standards and processes). Authors should provide a detailed summary of the protocol followed to collect the data, along with any processing required to establish replicability. 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