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<p style="margin-top:0;margin-bottom:0">Thank you for sharing this excellent updates. I thank all colleagues who worked for this. Greatly appreciated.</p>
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<p style="margin-top:0;margin-bottom:0">Best wishes,</p>
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<p style="margin-top:0;margin-bottom:0">Suchith</p>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> CODATA-international <codata-international-bounces@lists.codata.org> on behalf of Asha CODATA <asha@codata.org><br>
<b>Sent:</b> 08 November 2019 08:55<br>
<b>To:</b> codata-international@lists.codata.org <codata-international@lists.codata.org><br>
<b>Subject:</b> [CODATA-international] The Beijing Declaration on Research Data</font>
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Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require data[1] to be FAIR (Findable, Accessible, Interoperable, and
Reusable) and as open as possible on a global basis. Scientific discovery must not be impeded unnecessarily by fragmented and closed systems, and the stewardship of research data should avoid defaulting to the traditional, proprietary approach of scholarly
publishing. Therefore, the adoption of new policies and principles, coordinated and implemented globally, is necessary for research data and the associated infrastructures, tools, services, and practices. The time to act on the basis of solid policies for
research data is now.</div>
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The Beijing Declaration is intended as a timely statement of core principles to encourage global cooperation, especially for public research data. It builds on and acknowledges the many national and international efforts that have been undertaken in the policy
and technical spheres on a worldwide basis. These major contributions are listed in the Appendix. </div>
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Several emergent global trends justify and precipitate this declaration of principles:</div>
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<li style="margin:0px; padding:0px 0px 0px 19px; border:0px; outline:0px; font-weight:inherit; font-style:inherit; font-family:inherit; vertical-align:top; background-image:url("http://www.codata.org/uploads/Main/list_white_box_blue_arrow.png"); background-repeat:no-repeat; background-position:0% 7px; line-height:26px">
Massive global challenges require multilateral and cross-disciplinary cooperation and the broad reuse of data to improve coherence concerning recent UN landmark agreements, such as the Paris Climate Agreement, the Sendai Framework for Disaster Risk Reduction,
the Sustainable Development Goals (SDGs), the Convention on Biological Diversity, the Plant Treaty, the World Humanitarian Summit, and others. The comprehensive agendas for action provided by these agreements requires access to and reuse of all kinds of data.</li><li style="margin:0px; padding:0px 0px 0px 19px; border:0px; outline:0px; font-weight:inherit; font-style:inherit; font-family:inherit; vertical-align:top; background-image:url("http://www.codata.org/uploads/Main/list_white_box_blue_arrow.png"); background-repeat:no-repeat; background-position:0% 7px; line-height:26px">
Research and problem-solving, especially addressing the SDG challenges, are increasingly complex and driven by ‘big data’, resulting in the need to combine and reuse very diverse data resources across multiple fields. This poses an enormous challenge in the interoperability
of data and responsible stewardship, with full respect for privacy.</li><li style="margin:0px; padding:0px 0px 0px 19px; border:0px; outline:0px; font-weight:inherit; font-style:inherit; font-family:inherit; vertical-align:top; background-image:url("http://www.codata.org/uploads/Main/list_white_box_blue_arrow.png"); background-repeat:no-repeat; background-position:0% 7px; line-height:26px">
Rapid advances in the technologies that generate and analyze data pose major challenges concerning data volume, harmonization, management, sharing, and reuse. At the same time, emerging technologies (including machine learning) offer new opportunities that
require access to reusable data available in distributed, yet interoperable, international data resources.</li><li style="margin:0px; padding:0px 0px 0px 19px; border:0px; outline:0px; font-weight:inherit; font-style:inherit; font-family:inherit; vertical-align:top; background-image:url("http://www.codata.org/uploads/Main/list_white_box_blue_arrow.png"); background-repeat:no-repeat; background-position:0% 7px; line-height:26px">
Changing norms and ethics encourage high-quality research through greater transparency, promote the reuse of data, and improve trustworthiness through the production of verifiable and reproducible research results. Increasing the openness of research data is
efficient, improving the public return on investment, and generating positive externalities.</li><li style="margin:0px; padding:0px 0px 0px 19px; border:0px; outline:0px; font-weight:inherit; font-style:inherit; font-family:inherit; vertical-align:top; background-image:url("http://www.codata.org/uploads/Main/list_white_box_blue_arrow.png"); background-repeat:no-repeat; background-position:0% 7px; line-height:26px">
Open Science initiatives are emerging globally, including in less economically developed countries. There consequently are opportunities for these countries to take advantage of technological developments to develop a greater share in scientific production.
Without determined action, there is also a risk that the divide in scientific production will widen.</li></ul>
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In September 2019, CODATA and its Data Policy Committee convened in Beijing to discuss current data policy issues and developed a set of data policies adapted to the new Open Science paradigm. The Declaration proposed below is the result of that meeting and
is now put forward for public review.</div>
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<strong style="margin:0px; padding:0px; border:0px; outline:0px; font-style:inherit; font-family:inherit; vertical-align:top">The Beijing Declaration on Research Data <a href="http://www.codata.org/uploads/Beijing%20Declaration-19-11-07-FINAL.pdf" style="margin:0px; padding:0px; border:0px; outline:none; font-weight:inherit; font-style:inherit; font-family:inherit; vertical-align:top; text-decoration-line:none; color:rgb(45,53,142)" id="LPlnk206818" class="OWAAutoLink" previewremoved="true">read
here</a> - Attached.<br>
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[1] In the attached document we deliberately use the word data very broadly, to comprise data (stricto sensu) and the ecosystem of digital things that relate to data, including metadata, software and algorithms, as well as physical samples and analogue artefacts
(and the digital representations and metadata relating to these things). </div>
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Thanks,</div>
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Asha</div>
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<div style="color:rgb(0,0,0)">___________________________<br>
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<div dir="ltr" style="font-size:small"><b style="color:rgb(0,0,0)"><a href="https://vizafrica.codata.org/2019-Botswana/" target="_blank" style="color:rgb(0,0,0); text-decoration-line:none" id="LPlnk674670" class="OWAAutoLink" previewremoved="true">VizAfrica
Botswana, 18-19 Nov</a> - <a href="https://vizafrica.codata.org/conference/2019-Botswana/register/" target="_blank" id="LPlnk391919" class="OWAAutoLink" previewremoved="true">REGISTER NOW</a></b><br style="color:rgb(0,0,0)">
<br style="color:rgb(0,0,0)">
<div style="color:rgb(0,0,0)"><a href="http://codata.org/blog/2019/11/01/october-2019-publications-in-the-data-science-journal/" target="_blank" id="LPlnk741155" class="OWAAutoLink" previewremoved="true"><b>October 2019 Publications</b></a><b> in the <a href="https://datascience.codata.org/" target="_blank" id="LPlnk713705" class="OWAAutoLink" previewremoved="true">CODATA
Data Science Journal</a> </b></div>
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<div style="color:rgb(0,0,0)"><b>Stay in touch with CODATA:</b></div>
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<div style="color:rgb(0,0,0)">Stay up to date with CODATA activities: <a href="http://lists.codata.org/mailman/listinfo/codata-international_lists.codata.org" target="_blank" id="LPlnk962785" class="OWAAutoLink" previewremoved="true"><b>join the CODATA International
News list</b></a></div>
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<div style="color:rgb(0,0,0)">Looking for training and career opportunities in data science and data stewardship? <a href="http://lists.codata.org/mailman/listinfo/data_science_training_lists.codata.org" target="_blank" id="LPlnk901898" class="OWAAutoLink" previewremoved="true"><b>Sign
up to the CODATA early career community-run data science training and careers list</b></a></div>
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<div dir="ltr" style="font-size:small">Asha Law | Program Assistant, CODATA | <a href="http://www.codata.org/" target="_blank" style="color:rgb(17,85,204)" id="LPlnk797106" class="OWAAutoLink" previewremoved="true">http://www.codata.org</a></div>
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<div dir="ltr" style="font-size:small">E-Mail: <a href="mailto:asha@codata.org" target="_blank" style="color:rgb(17,85,204)" id="LPlnk344077" class="OWAAutoLink" previewremoved="true">asha@codata.org</a><br>
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<div dir="ltr" style="font-size:small">Tel (Office): +33 1 45 25 04 96</div>
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<div dir="ltr" style="font-size:small">CODATA (Committee on Data of the International Council for Science), 5 rue Auguste Vacquerie, 75016 Paris, FRANCE</div>
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