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Publication . Article . 2014

Research Libraries New Role in Research Data Management, Current Trends and Visions in Denmark

Filip Kruse; Jesper Boserup Thestrup;
Open Access
English
Published: 01 Apr 2014
Abstract
The amount of research data is growing constantly, due to new technology with new potentials for collecting and analysing both digital data and research objects. This growth creates a demand for a coherent IT-infrastructure. Such an infrastructure must be able to provide facilities for storage, preservation and a more open access to data in order to fulfil the demands from the researchers themselves, the research councils and research foundations.This paper presents the findings of a research project carried out under the auspices of DEFF (Danmarks Elektroniske Fag- og Forskningsbibliotek - Denmark’s Electronic research Library)[i] to analyse how the Danish universities store, preserve and provide access to research data. It shows that they do not have a common IT-infrastructure for research data management. This paper describes the various paths chosen by individual universities and research institutions, and the background for their strategies of research data management. Among the main reasons for the uneven practices are the lack of a national policy in this field, the different scientific traditions and cultures and the differences in the use and organization of IT-services.This development contains several perspectives that are of particular relevance to research libraries. As they already curate digital collections and are active in establishing web archives, the research libraries become involved in research and dissemination of knowledge in new ways. This paper gives examples of how The State and University Library’s services facilitate research data management with special regard to digitization of research objects, storage, preservation and sharing of research data.This paper concludes that the experience and skills of research libraries make the libraries important partners in a research data management infrastructure.
Subjects by Vocabulary

Microsoft Academic Graph classification: Relevance (information retrieval) Order (exchange) National Policy Vision Computer science Digitization Data management plan Knowledge management business.industry business Data access Field (computer science)

Subjects

Library and Information Sciences, research data management, university, library, national cultural heritage, Bibliography. Library science. Information resources, Z

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