4.5 Article

The puzzle of sharing scientific data

期刊

INDUSTRY AND INNOVATION
卷 29, 期 2, 页码 219-250

出版社

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/13662716.2022.2033178

关键词

Open science; data commons; collective action theory; epistemic cultures

资金

  1. European Commission- DG RTD [PP-05622-2017]
  2. Open Science Monitor (2017- 2019)

向作者/读者索取更多资源

This study explores how researchers from different fields share their data and identifies the barriers and facilitators of data sharing. The findings suggest that scientific communities can use modularity, time delay, and boundary organizations to overcome barriers to data sharing.
Government funding entities have placed data sharing at the centre of scientific policy. While there is widespread consensus that scientific data sharing benefits scientific progress, there are significant barriers to its wider adoption. We seek a deeper understanding of how researchers from different fields share their data and the barriers and facilitators of such sharing. We draw upon the notions of epistemic cultures and collective action theory to consider the enablers and deterrents that scientists encounter when contributing to the collective good of data sharing. Our study employs a mixed-methods design by combining survey data collected in 2016 and 2018 with qualitative data from two case studies sampled within two scientific communities: high-energy physics and molecular biology. We describe how scientific communities with different epistemic cultures can employ modularity, time delay, and boundary organisations to overcome barriers to data sharing.

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