文章基本信息

标题：Finding a Repository with the Help of Machine-Actionable DMPs: Opportunities and Challenges
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作者：Simon Oblasser ; Tomasz Miksa ; Asanobu Kitamoto 等
期刊名称：International Journal of Digital Curation
印刷版ISSN：1746-8256
出版年度：2020
页码：12-23
DOI：10.2218/ijdc.v15i1.704
出版社：University of Edinburgh
摘要：Finding a suitable repository to deposit research data is a diffcult task for researchers since the landscape consists of thousands of repositories and automated tool support is limited. Machine-actionable DMPs can improve the situation since they contain relevant context information in a structured and machinefriendly way and therefore enable automated support in repository recommendation. This work describes the current practice of repository selection and the available support today. We outline the opportunities and challenges of using machine-actionable DMPs to improve repository recommendation. By linking the use case of repository recommendation to the ten principles for machineactionable DMPs, we show how this vision can be realized. A flterable and searchable repository registry that provides rich metadata for each indexed repository record is a key element in the architecture described. At the example of repository registries we show that by mapping machine-actionable DMP content and data policy elements to their flter criteria and querying their APIs a ranked list of repositories can be suggested.