Application Profile for Machine-Actionable Data Management Plans

Q2 Computer Science

Data Science Journal Pub Date : 2021-10-26 DOI:10.5334/dsj-2021-032

Tomasz Miksa, P. Walk, Peter Neish, Simon Oblasser, Hollydawn Murray, Tom Renner, Marie-Christine Jacquemot-Perbal, João Cardoso, T. Kvamme, M. Praetzellis, M. Suchánek, Rob W.W. Hooft, Benjamin Faure, H. Moa, A. Hasan, Sarah Jones

引用次数: 5

Abstract

This paper presents the application profile for machine-actionable data management plans that allows information from traditional data management plans to be expressed in a machine-actionable way. We describe the methodology and research conducted to define the application profile. We also discuss design decisions made during its development and present systems which have adopted it. The application profile was developed in an open and consensus-driven manner within the DMP Common Standards Working Group of the Research Data Alliance and is its official recommendation. TOMASZ MIKSA PAUL WALK PETER NEISH SIMON OBLASSER HOLLYDAWN MURRAY TOM RENNER MARIE-CHRISTINE JACQUEMOT-PERBAL JOÃO CARDOSO TROND KVAMME MARIA PRAETZELLIS MAREK SUCHÁNEK ROB HOOFT BENJAMIN FAURE HANNE MOA ADIL HASAN SARAH JONES

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机器可操作数据管理计划的应用程序配置文件

本文介绍了机器可操作数据管理计划的应用程序配置文件，该文件允许以机器可操作的方式表达传统数据管理计划中的信息。我们描述了定义应用程序概要的方法和研究。我们还讨论了在其开发过程中做出的设计决策以及目前采用该设计的系统。该应用程序简介是在研究数据联盟的DMP通用标准工作组内以开放和共识驱动的方式开发的，是其官方建议。托马什·米克萨·保罗步行彼得·奈什西蒙·奥布拉瑟霍利达恩默里汤姆·雷纳玛丽·克里斯汀·雅克莫特·佩巴尔乔奥卡多索·特隆德·克瓦米·玛丽亚·普雷策利斯·马雷克

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data Science Journal Computer Science-Computer Science (miscellaneous)

CiteScore

5.40

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.