互操作性
数据共享
计算机科学
背景(考古学)
科学政策
激励
过程(计算)
数据科学
打开数据
数据存取
知识管理
万维网
数据库
政治学
古生物学
经济
微观经济学
替代医学
病理
操作系统
生物
医学
公共行政
作者
Thijs Devriendt,Mahsa Shabani,Karim Lekadir,Pascal Borry
出处
期刊:Scientometrics
[Springer Nature (Netherlands)]
日期:2022-04-09
卷期号:127 (6): 3007-3019
被引量:13
标识
DOI:10.1007/s11192-022-04361-2
摘要
Data sharing platforms are being constructed to make clinical cohort data more findable, accessible, interoperable, and reusable. Their primary purpose is to enhance the sharing of data. However, the lack of incentives for data sharing has been conceptualized in both scientific literature and policy documents as a problem of science policy. As platforms can only facilitate data sharing through technical means, they may not be able of fully resolving the data sharing problem. In this article, it is shown how the design of platforms may help in addressing policy barriers to data sharing in the long-term. In essence, platforms can be made into policy instruments that generate information on the data sharing process and the functionality of data access committees. This allows platforms to be used to inform science policy development, to monitor data sharing practices and to steer funding prioritization for cohorts and data infrastructures themselves. In this way, the creation of data infrastructures is closely connected to the policy evolutions in the context of open science.
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