re3data – Indexing the Global Research Data Repository Landscape Since 2012

Author:

Pampel HeinzORCID,Weisweiler Nina LeonieORCID,Strecker DorotheaORCID,Witt Michael,Vierkant Paul,Elger Kirsten,Bertelmann Roland,Buys Matthew,Ferguson Lea Maria,Kindling Maxi,Kotarski RachaelORCID,Petras Vivien

Abstract

AbstractFor more than ten years, re3data, a global registry of research data repositories (RDRs), has been helping scientists, funding agencies, libraries, and data centers with finding, identifying, and referencing RDRs. As the world’s largest directory of RDRs, re3data currently describes over 3,000 RDRs on the basis of a comprehensive metadata schema. The service allows searching for RDRs of any type and from all disciplines, and users can filter results based on a wide range of characteristics. The re3data RDR descriptions are available as Open Data accessible through an API and are utilized by numerous Open Science services. re3data is engaged in various initiatives and projects concerning data management and is mentioned in the policies of many scientific institutions, funding organizations, and publishers. This article reflects on the ten-year experience of running re3data and discusses ten key issues related to the management of an Open Science service that caters to RDRs worldwide.

Funder

Deutsche Forschungsgemeinschaft

Einstein Center Digital Future, https://www.digital-future.berlin

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference97 articles.

1. National Science Foundation Cyberinfrastructure Council. Cyberinfrastructure Vision for 21st Century Discovery 2007. https://www.nsf.gov/pubs/2007/nsf0728/nsf0728.pdf (2023).

2. National Science Foundation. Revolutionizing Science and Engineering through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure 2003. https://www.nsf.gov/cise/sci/reports/atkins.pdf (2023).

3. How to encourage the right behaviour. Nature 416, 1–1 (2002).

4. Let Data Speak to Data. Nature 438, 531–531 (2005).

5. The Royal Society. Science as an Open Enterprise https://royalsociety.org/~/media/Royal_Society_Content/policy/projects/sape/2012-06-20-SAOE.pdf (2023).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3