The Front Office–Back Office Model: Supporting Research Data Management in the Netherlands
High quality and timely data management and secure storage of data, both during and after completion of research, are an essential prerequisite for sharing that data. It is therefore crucial that universities and research institutions themselves formulate a clear policy on data management within their organization. For the implementation of this data management policy, high quality support for researchers and an adequate technical infrastructure are indispensable. This practice paper will present an overview of the merging federated data infrastructure in the Netherlands with its front office... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2014 |
Reihe/Periodikum: | International Journal of Digital Curation, Vol 9, Iss 2 (2014) |
Verlag/Hrsg.: |
University of Edinburgh
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Schlagwörter: | Bibliography. Library science. Information resources / Z |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27190745 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doaj.org/article/6a3c003b9f2345f9a14bf2e70c65ef92 |
High quality and timely data management and secure storage of data, both during and after completion of research, are an essential prerequisite for sharing that data. It is therefore crucial that universities and research institutions themselves formulate a clear policy on data management within their organization. For the implementation of this data management policy, high quality support for researchers and an adequate technical infrastructure are indispensable. This practice paper will present an overview of the merging federated data infrastructure in the Netherlands with its front office – back office model, as a use case of an efficient and effective national support infrastructure for researchers. We will elaborate on the stakeholders involved, on the services they offer each other, and on the benefits of this model not only for the front and back offices themselves, but also for the researchers. We will also pay attention to a number of challenges that we are facing, like the implementation of a technical infrastructure for automatic data ingest and integrating access to research data.