Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group.
Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group.
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DOI：
10.12688/wellcomeopenres.16378.2
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发表时间：
2020
影响因子：
--
通讯作者：
Research Data Alliance
中科院分区：
文献类型：
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作者：
Austin CC;Bernier A;Bezuidenhout L;Bicarregui J;Biro T;Cambon-Thomsen A;Carroll SR;Cournia Z;Dabrowski PW;Diallo G;Duflot T;Garcia L;Gesing S;Gonzalez-Beltran A;Gururaj A;Harrower N;Lin D;Medeiros C;Méndez E;Meyers N;Mietchen D;Nagrani R;Nilsonne G;Parker S;Pickering B;Pienta A;Polydoratou P;Psomopoulos F;Rennes S;Rowe R;Sansone SA;Shanahan H;Sitz L;Stocks J;Tovani-Palone MR;Uhlmansiek M;Research Data Alliance
新冠疫情带来的系统性挑战需要全球范围内及时的跨学科协作。这种协作需要开放的研究实践以及研究成果（如数据和代码）的共享，从而促进研究以及研究的可重复性，并实现跨境的及时协作。研究数据联盟新冠疫情工作组近期发布了一套关于新冠疫情研究的数据共享及相关最佳实践的建议和指南。这些指南包含了针对临床医生、研究人员、政策制定者和决策者、资助者、出版商、公共卫生专家、防灾和应急专家、基础设施提供者从不同领域（临床医学、组学、流行病学、社会科学、社区参与、原住民、研究软件、法律和伦理考量）以及其他潜在用户的建议。这些指南包含了从不同领域（临床医学、组学、流行病学、社会科学、社区参与、原住民、研究软件、法律和伦理考量）针对研究人员、政策制定者、资助者、出版商和基础设施提供者的建议。这份文件呈现出了几个首要主题，例如需要在遵循FAIR原则（可查找、可获取、可互操作和可重用）创建数据与快速发布数据之间取得平衡；使用可靠的研究数据存储库；使用带有有意义元数据的标注良好的数据；以及记录方法和软件的实践。最终形成的这份文件标志着一项由全球160多位专家所做出的前所未有的跨学科、跨部门和跨辖区的努力。这封信总结了《建议和指南》的要点，强调了相关发现，聚焦了这一过程，并提出了更广泛的科学界如何利用这些进展。
The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such collaboration needs open research practices and the sharing of research outputs, such as data and code, thereby facilitating research and research reproducibility and timely collaboration beyond borders. The Research Data Alliance COVID-19 Working Group recently published a set of recommendations and guidelines on data sharing and related best practices for COVID-19 research. These guidelines include recommendations for clinicians, researchers, policy- and decision-makers, funders, publishers, public health experts, disaster preparedness and response experts, infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations), and other potential users. These guidelines include recommendations for researchers, policymakers, funders, publishers and infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations). Several overarching themes have emerged from this document such as the need to balance the creation of data adherent to FAIR principles (findable, accessible, interoperable and reusable), with the need for quick data release; the use of trustworthy research data repositories; the use of well-annotated data with meaningful metadata; and practices of documenting methods and software. The resulting document marks an unprecedented cross-disciplinary, cross-sectoral, and cross-jurisdictional effort authored by over 160 experts from around the globe. This letter summarises key points of the Recommendations and Guidelines, highlights the relevant findings, shines a spotlight on the process, and suggests how these developments can be leveraged by the wider scientific community.