移动研究人员,不移动数据:管理数据 (生产者)
1Graz University of Technology, Graz, Austria.
Social studies of science
|June 2, 2023
概括
科学家们经常练习"数据移交",以保持研究的连续性,而不仅仅是开放的数据共享. 这种务实的数据管理方法有助于管理研究人员的流动性,即使它与开放科学有所不同.
科学领域:
- 信息科学 信息科学 信息科学
- 科学社会学科学社会学
背景情况:
- 科学机构越来越多地采用正式的研究数据管理 (RDM) 策略.
- 像FAIR原则这样的指导方针旨在通过数据共享来提高透明度和可重复性.
- 开放科学倡议的目标是公开数据,以便广泛重复使用.
研究的目的:
- 调查科学家数据发布背后的实际做法和动机.
- 在科学流动的背景下,探索RDM原则的重新解释.
- 了解开放科学和实际实施之间所述的认识目标之间的分离.
主要方法:
- 涉及采访奥地利科学家的定性研究.
- 分析科学家对RDM特征的重新解释 (例如,可查找性).
- 检查数据发布实践,称为"数据移交".
主要成果:
- 科学家的数据发布实践往往是基于研究连续性需求的务实"数据交付".
- 研究人员流动性管理的功能被重新解释为管理研究人员流动性的工具.
- 采用开放科学实践可能与其认识目标脱节.
结论:
- 采用开放科学实践可能与其透明度和再利用的预期目标不一致.
- 开放科学倡议的行政实力并不能保证规范性调整.
- 了解科学家的实际动机对于有效的RDM和开放科学实施至关重要.
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