Data Management Planning in a Federated Landscape

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Title:Main Title: Data Management Planning in a Federated Landscape
Descriptions:Abstract: Where many research organisations are developing data management policies, the federated data infrastructure that is emerging in the Netherlands is a timely development. This federated model is an elaboration of the collaborative model in the ‘Riding the wave’ report. It distinguishes expertise and services within research organisations from those available in national data services. Researchers then benefit from the support of their local front office, while front office staff in turn can rely on support of the back office. The responsibilities and functions performed in the federated infrastructure are complementary, but not fixed. This paper elaborates on possible scenarios for the balance between front office and back office. Furthermore, it argues that research funders, although they are not explicit in the collaborative model, have a strong interest in an infrastructure where all layers are well-organised and connected.
Series Information: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 25-30
Identifier:10.5880/TR32DB.KGA96.5 (DOI)
Related Resource:Is Part Of 0454-1294 (ISBN)
Responsible Party
Creator:Marjan Grootveld (Author)
Contributors:Constanze Curdt (Editor), Christian Willmes (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution)
Publisher:Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
Publication Year:2016
Topic
Subjects:Keywords: Data Management, Research Data
File Details
Filename:Grootveld_2016_KGA96.pdf
Data Type:Text - Book Section
Sizes:6 Pages
465 Kilobytes
File Size:465 KB
Date:Issued: 29.12.2016
Mime Type:application/pdf
Language:English
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Metadata Details
Metadata Creator:Tanja Kramm
Metadata Created:12.01.2017
Metadata Last Updated:12.01.2017
Subproject:Z1
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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