公平的EVA:将机构的多学科存储库带入公平的图片
Fernando Aguilar Gómez1, Isabel Bernal2
1CSIC (Spanish National Research Council), Institute of Physics of Cantabria (IFCA), Santander, Spain. aguilarf@ifca.unican.es.
Scientific data
|November 5, 2023
概括
公平EVA是一个新工具,旨在评估数据在开放存储库中的公平性. 它提供了一个可定制和可扩展的解决方案,用于在特定数据管理系统中评估数字对象质量.
科学领域:
- 开放科学是一个开放的科学.
- 数据管理数据管理
- 数字存储库 数字存储库
背景情况:
- 公平原则促进开放科学中的数据可复制性和质量.
- 现有的公平性指标往往是高层次的,不适合于特定环境,如多学科存储库.
- 需要适应性的工具来评估各种数据管理系统中的公平性.
研究的目的:
- 推出FAIR EVA,这是一个用于评估开放存储库中数字对象的 FAIR 性的新工具.
- 为评估数据管理系统质量提供可定制,可扩展和自动化解决方案.
- 根据特定的机构需求和存储软件调整公平性评估.
主要方法:
- 在欧洲开放科学云倡议中开发FAIR EVA.
- 该工具的方向是针对特定的数据管理系统,特别是开放的存储库.
- 针对可扩展性和在各种环境中自动应用的定制功能.
- 适应不同的存储软件和科学学科.
主要成果:
- FAIR EVA的设计是灵活的,可以适应各种环境.
- 该工具可以定制,以满足机构及其存储库的特定需求.
- DIGITAL.CSIC 存储库作为 FAIR EVA. 的初始实施案例.
结论:
- 公平的EVA在开放的存储库中提供了一种实用且可适应的Fairness评估方法.
- 该工具通过提供特定上下文的解决方案来解决高级指标的局限性.
- 它在欧洲开放科学云中的发展支持科学研究数据质量的提升.
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