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数据管理计划:缺失的视角。

Data management plans: the missing perspective.

作者信息

Williams Mary, Bagwell Jacqueline, Nahm Zozus Meredith

机构信息

Duke Clinical Research Institute, United States.

MMCi, University of California- San Francisco, United States.

出版信息

J Biomed Inform. 2017 Jul;71:130-142. doi: 10.1016/j.jbi.2017.05.004. Epub 2017 May 9.

Abstract

The National Institutes of Health requires data sharing plans for projects with over five hundred thousand dollars in direct costs in a single year and has recently released a new guidance on rigor and reproducibility in grant applications. The National Science Foundation outright requires Data Management Plans (DMPs) as part of applications for funding. However, there is no general and definitive list of topics that should be covered in a DMP for a research project. We identified and reviewed DMP requirements from research funders. Forty-three DMP topics were identified. The review uncovered inconsistent requirements for written DMPs as well as high variability in required or suggested DMP topics among funder requirements. DMP requirements were found to emphasize post-publication data sharing rather than upstream activities that impact data quality, provide traceability or support reproducibility. With the emphasis equalized, the forty-three identified topics can aid Data Managers in systematically generating comprehensive DMPs that support research project planning and funding application evaluation as well as data management conduct and post-publication data sharing.

摘要

美国国立卫生研究院要求对单年直接成本超过五十万美元的项目制定数据共享计划,并且最近发布了关于资助申请中严谨性和可重复性的新指南。美国国家科学基金会直接要求将数据管理计划(DMPs)作为资助申请的一部分。然而,对于一个研究项目的数据管理计划中应涵盖的主题,并没有一个通用且明确的清单。我们识别并审查了研究资助者的数据管理计划要求。确定了43个数据管理计划主题。审查发现,对于书面数据管理计划的要求不一致,而且在资助者的要求中,所需或建议的数据管理计划主题的差异也很大。研究发现,数据管理计划要求强调发表后的数据共享,而不是影响数据质量、提供可追溯性或支持可重复性的上游活动。在重点均衡的情况下,确定的这43个主题可以帮助数据管理者系统地生成全面的数据管理计划,以支持研究项目规划和资助申请评估,以及数据管理实施和发表后的数据共享。

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