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Technological and organisational aspects of global research data infrastructures towards year 2020
KTH, School of Computer Science and Communication (CSC), High Performance Computing and Visualization (HPCViz). KTH, School of Computer Science and Communication (CSC), Centres, Centre for High Performance Computing, PDC.ORCID iD: 0000-0002-9901-9857
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2013 (English)In: Data Science Journal, ISSN 1683-1470, Vol. 12, GRDI1-GRDI5 p.Article in journal (Refereed) Published
Abstract [en]

A general-purpose Global Research Data Infrastructure (GRDI) for all sciences and research purposes is not conceivable for the next decade as there are too many discipline-specific modalities that currently prevail for such generalisation efforts to be effective. On the other hand, a more pragmatic approach is to start from what currently exists, identify best practices and key issues, and promote effective inter-domain collaboration among different components forming an ecosystem. This will promote interoperability, data exchange, data preservation, and distributed access (among others). This ecosystem of interoperable research data infrastructures will be composed of regional, disciplinary, and multidisciplinary components, such as libraries, archives, and data centres, offering data services for both primary datasets and publications. The ecosystem will support data-intensive science and research and stimulate the interaction among all its elements, thus promoting multidisciplinary and interdisciplinary science. This special issue includes a set of independent papers from renowned experts on organisational and technological issues related to GRDIs. These documents feed into and compliment the GRDI2020 roadmap, which supports a Global Research Data Infrastructure ecosystem.

Place, publisher, year, edition, pages
2013. Vol. 12, GRDI1-GRDI5 p.
Keyword [en]
Analysis, Curation, Data Infrastructures, Data Management, Discovery, Global Data Research Infrastructure (GRDI), Governance, Interoperability, Linking, Organisational, Policy, Preservation, Provenance, Quality, Sustainability, Technological, Trust
National Category
Computer Science
URN: urn:nbn:se:kth:diva-134041DOI: 10.2481/dsj.GRDI-001ScopusID: 2-s2.0-84882936514OAI: diva2:664801

QC 20131118

Available from: 2013-11-18 Created: 2013-11-15 Last updated: 2013-11-18Bibliographically approved

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Laure, ErwinVitlacil, DejanShort, Faith
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