Lin Dawei, McAuliffe Matthew, Pruitt Kim D, Gururaj Anupama, Melchior Christine, Schmitt Charles, Wright Susan N
National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health, Bethesda, Maryland, USA.
Center of Information Technology (CIT), National Institutes of Health, Bethesda, Maryland, USA.
Sci Data. 2024 Jun 13;11(1):622. doi: 10.1038/s41597-024-03449-z.
The demand for open data and open science is on the rise, fueled by expectations from the scientific community, calls to increase transparency and reproducibility in research findings, and developments such as the Final Data Management and Sharing Policy from the U.S. National Institutes of Health and a memorandum on increasing public access to federally funded research, issued by the U.S. Office of Science and Technology Policy. This paper explores the pivotal role of data repositories in biomedical research and open science, emphasizing their importance in managing, preserving, and sharing research data. Our objective is to familiarize readers with the functions of data repositories, set expectations for their services, and provide an overview of methods to evaluate their capabilities. The paper serves to introduce fundamental concepts and community-based guiding principles and aims to equip researchers, repository operators, funders, and policymakers with the knowledge to select appropriate repositories for their data management and sharing needs and foster a foundation for the open sharing and preservation of research data.
在科学界的期望、提高研究结果透明度和可重复性的呼声以及美国国立卫生研究院的《最终数据管理与共享政策》和美国科学技术政策办公室发布的关于增加公众获取联邦资助研究成果的备忘录等发展因素的推动下,对开放数据和开放科学的需求正在上升。本文探讨了数据存储库在生物医学研究和开放科学中的关键作用,强调了它们在管理、保存和共享研究数据方面的重要性。我们的目标是让读者熟悉数据存储库的功能,设定对其服务的期望,并概述评估其能力的方法。本文旨在介绍基本概念和基于社区的指导原则,旨在使研究人员、存储库运营商、资助者和政策制定者具备为其数据管理和共享需求选择合适存储库的知识,并为研究数据的开放共享和保存奠定基础。