建立数据共享和重复使用的早期指标.
Agata Piękniewska1, Laurel L Haak2, Darla Henderson3
1SciCrunch, San Diego, California, USA.
概括
追踪研究数据的共享和重复使用至关重要. 在出版物中提到的研究资源,数据库和存储库 (RDR) 作为衡量这一活动的有用代理.
科学领域:
- 生物医学和生物科学 生物医学和生物科学
- 学术传播学术交流
- 数据科学是数据科学.
背景情况:
- 利益相关者需要指标来评估数据共享和重复使用政策.
- 根据NIH数据管理和共享政策,需要2023年的基准数据.
- 衡量数据共享和重复使用对于政策影响评估至关重要.
研究的目的:
- 为了评估研究资源,数据库和存储库 (RDR) 提到作为数据共享和重复使用的代理.
- 建立生物和生物医学领域的数据共享和重复使用活动的基准.
- 为作者和出版商提供有关促进数据共享实践的信息.
主要方法:
- 使用自然语言处理 (NLP) 来识别RDR提及.
- 分析了PubMed Central中公开访问文章 (2020-2021) 的方法部分的文本.
- 开发了一种标准化RDR提及数据的方法.
主要成果:
- 对于RDR提及的标准化基线数据是为2020-2021年生成的.
- 该研究表明,RDR提及作为数据共享和重复使用的代理的实用性.
- 在生物和生物医学研究社区中确定了数据共享和重复使用的趋势.
结论:
- 提及RDR提供了一种可行的方法来跟踪数据共享和重复使用.
- 基线数据对于评估NIH数据管理和共享政策的影响至关重要.
- 作者和出版商可以实施策略来增强数据共享和重复使用的可见性.
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