Pickering Brian, Biro Timea, Austin Claire C, Bernier Alexander, Bezuidenhout Louise, Casorrán Carlos, Crawley Francis P, David Romain, Engelhardt Claudia, Mitrea Geta, Mochmann Ingvill Constanze, Nagrani Rajini, O'Brien-Uhlmansiek Mary, Parker Simon, Wang Minglu, Castro Leyla Jael, Cournia Zoe, Dharmawardena Kheeran, Diallo Gayo, Dillo Ingrid, Gonzalez-Beltran Alejandra, Gururaj Anupama, Gutam Sridhar, Harrower Natalie, Jonnagaddala Jitendra, McNeill Katherine, Mietchen Daniel, Pienta Amy, Polydoratou Panayiota, Tovani-Palone Marcos Roberto
University of Southampton, Southampton, UK.
Digital Repository of Ireland / Royal Irish Academy, Dublin, Ireland.
Open Res Eur. 2021 Jun 16;1:69. doi: 10.12688/openreseurope.13369.1. eCollection 2021.
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. 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. 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. 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. Recommendations and suggestions for future work were formulated for consideration by the RDA to strengthen effective expert collaboration and interdisciplinary efforts.
2019年冠状病毒病(COVID-19)全球大流行需要迅速而有效的应对措施。这包括在伦理和法律层面进行适当的数据共享。欧盟委员会(EC)呼吁研究数据联盟(RDA)在全球范围内招募专家,以便迅速制定与COVID相关的数据共享建议和指南。本研究的目的是探讨RDA如何成功促使其科学家群体参与进来,对欧盟委员会的请求做出快速响应。为此设计了一份调查问卷,并分发给RDA COVID-19工作组成员。采用混合方法对调查数据进行分析。研究发现,在调查数据的定量和定性分析中,激进合作的三个要素(包容性、分布式数字实践、富有成效和可持续的合作)都得到了有力支持。其他社会因素,如动机和群体认同,对这项极端协作努力的成功也很重要。本研究还为RDA制定了未来工作的建议,供其考虑,以加强有效的专家协作和跨学科努力。