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学术数据存储库的数据引用路线图。

A data citation roadmap for scholarly data repositories.

机构信息

DataCite, Hannover, Germany.

Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.

出版信息

Sci Data. 2019 Apr 10;6(1):28. doi: 10.1038/s41597-019-0031-8.

Abstract

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.

摘要

本文为学术数据存储库提供了一个实用的路线图,以根据联合数据引用原则声明实施数据引用,该原则是各大科学政策机构建议的摘要和协调。路线图由存储库专家组制定,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) 支持联合数据引用原则声明所需的必要步骤,b) 促进文章/数据发布工作流程的推荐步骤,以及 c) 进一步提高数据存储库提供的数据引用支持的可选步骤。我们描述了在首次发布 18 个月后对这些建议的早期采用情况,具体关注数据集登录页面上机器可读元数据的实现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa2b/6472386/a7c1403694de/41597_2019_31_Fig1_HTML.jpg

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