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共享生物医学研究资源时的数据发表与引用框架提案。

Proposal for a data publication and citation framework when sharing biomedical research resources.

作者信息

He Shan, Ganzinger Matthias, Hurdle John F, Knaup Petra

机构信息

Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.

出版信息

Stud Health Technol Inform. 2013;192:1201.

Abstract

Research data and biospecimen repositories are valuable resources for biomedical investigators. Sharing these resources has great potential benefits including efficient use of resources, avoiding duplicate experiments, gathering adequate sample sizes, and promoting collaboration. However, concerns from data producers about difficulties of getting proper acknowledgement for their data contributions are increasingly becoming obstacles for efficient and large-scale data sharing in reality. In this research project we analyzed the inadequacy of current policy-based solution for promoting data sharing. The recommendations in this paper emphasize data publication and citation. This project aims to promote the acknowledgement of data contributors with realizable informatics tools that augment informal policy-level strategies, and do so in a way that promotes data sharing.

摘要

研究数据和生物样本库是生物医学研究人员的宝贵资源。共享这些资源具有巨大的潜在益处,包括资源的有效利用、避免重复实验、获得足够的样本量以及促进合作。然而,数据提供者对其数据贡献难以获得恰当认可的担忧,在现实中日益成为高效和大规模数据共享的障碍。在本研究项目中,我们分析了当前基于政策的促进数据共享解决方案的不足之处。本文中的建议强调数据发布和引用。该项目旨在通过可实现的信息学工具促进对数据贡献者的认可,这些工具可增强非正式的政策层面策略,并以促进数据共享的方式来实现这一目标。

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