Radical collaboration during a global health emergency: development of the RDA COVID-19 data sharing recommendations and guidelines.

Brian Pickering, Timea Biro, Claire C Austin, Alexander Bernier, Louise Bezuidenhout, Carlos Casorrán, Francis P Crawley, Romain David, Claudia Engelhardt, Geta Mitrea, Ingvill Constanze Mochmann, Rajini Nagrani, Mary O'Brien-Uhlmansiek, Simon Parker, Minglu Wang, Leyla Jael Castro, Zoe Cournia, Kheeran Dharmawardena, Gayo Diallo, Ingrid Dillo, Alejandra Gonzalez-Beltran, Anupama Gururaj, Sridhar Gutam, Natalie Harrower, Jitendra Jonnagaddala, Katherine McNeill, Daniel Mietchen, Amy Pienta, Panayiota Polydoratou, Marcos Roberto Tovani-Palone
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引用次数: 3

Abstract

Background: The coronavirus disease 2019 (COVID-19) global pandemic required a rapid and effective response. This included ethical and legally appropriate sharing of data. The European Commission (EC) called upon the Research Data Alliance (RDA) to recruit experts worldwide to quickly develop recommendations and guidelines for COVID-related data sharing. Purpose: The purpose of the present work was to explore how the RDA succeeded in engaging the participation of its community of scientists in a rapid response to the EC request. Methods: A survey questionnaire was developed and distributed among RDA COVID-19 work group members. A mixed-methods approach was used for analysis of the survey data. Results: The three constructs of radical collaboration (inclusiveness, distributed digital practices, productive and sustainable collaboration) were found to be well supported in both the quantitative and qualitative analyses of the survey data. Other social factors, such as motivation and group identity were also found to be important to the success of this extreme collaborative effort. Conclusions: Recommendations and suggestions for future work were formulated for consideration by the RDA to strengthen effective expert collaboration and interdisciplinary efforts.

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全球突发卫生事件期间的彻底合作:制定新冠肺炎数据共享建议和指南
背景:2019冠状病毒病(COVID-19)全球大流行需要快速有效的应对措施。这包括在道德和法律上适当地分享数据。欧盟委员会(EC)呼吁研究数据联盟(RDA)在全球招募专家,迅速制定与covid - 19相关的数据共享建议和指南。目的:本工作的目的是探讨RDA如何成功地吸引其科学家社区参与对欧共体请求的快速响应。方法:制作调查问卷,在RDA COVID-19工作组成员中分发。采用混合方法对调查数据进行分析。结果:在调查数据的定量和定性分析中,发现激进合作的三个结构(包容性,分布式数字实践,生产性和可持续合作)得到了很好的支持。其他社会因素,如动机和群体认同,也被发现对这种极端合作努力的成功很重要。结论:为加强有效的专家协作和跨学科努力,制定了未来工作的建议和建议供RDA审议。
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