A data citation roadmap for scholarly data repositories
A data citation roadmap for scholarly data repositories
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DOI：
10.1038/s41597-019-0031-8
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发表时间：
2019-04-10
期刊：
影响因子：
9.8
通讯作者：
Clark, Tim
中科院分区：
文献类型：
--
作者：
Fenner, Martin;Crosas, Merce;Clark, Tim
本文提出了一个实用的路线图，学术数据存储库实施数据引用根据联合声明的数据引用原则，主要科学政策机构的建议的概要和协调。该路线图由知识库专家组开发，作为数据引用实施试点（DCIP）项目的一部分，该项目是FORCE11.org和NIH资助的BioCADDIE（https：biocaddie.org）项目的一项倡议。路线图提出了11项具体建议，分为三个实施阶段：a）支持数据引用原则联合声明所需的必要步骤，B）促进文章/数据发布工作流程的建议步骤，以及c）进一步改善数据存储库提供的数据引用支持的可选步骤。我们描述了这些建议在首次发布后18个月的早期采用，特别关注数据集着陆页上机器可读元数据的实现。
This article presents a practical roadmap for scholarly data repositories to implement data citation in accordance with the Joint Declaration of Data Citation Principles, a synopsis and harmonization of the recommendations of major science policy bodies. The roadmap was developed by the Repositories Expert Group, as part of the Data Citation Implementation Pilot (DCIP) project, an initiative of FORCE11.org and the NIH-funded BioCADDIE (https://biocaddie.org) project. The roadmap makes 11 specific recommendations, grouped into three phases of implementation: a) required steps needed to support the Joint Declaration of Data Citation Principles, b) recommended steps that facilitate article/data publication workflows, and c) optional steps that further improve data citation support provided by data repositories. We describe the early adoption of these recommendations 18 months after they have first been published, looking specifically at implementations of machine-readable metadata on dataset landing pages.