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Title: Data Intensive Science: Shades of Grey
Authors: Jeffery, Keith G. 
Asserson, Anne 
Keywords: CERIF;metadata;grey literature;datasets;contextual metadata;discovery metadata
Issue Date: 14-May-2014
Publisher: euroCRIS
Source: "Managing Data-Intensive Science: the Role of Research Information Systems in Realising the Digital Agenda": Proceedings of the 12th International Conference on Current Research Information Systems (2014)
Procedia Computer Science 33: 223-230 (2014)
Series/Report no.: CRIS2014: 12th International Conference on Current Research Information Systems (Rome, May 13-15, 2014)
Conference: CRIS2014 Conference 
The vast majority of research output is grey; white (peer reviewed scholarly publications) forms a minor proportion. Historically, grey material was generated and used within an organisation. However, in recent years some research-relevant grey material is being made openly available. Among grey outputs, research datasets are the largest proportion by volume and increasingly these are being made openly available. It is necessary for users of grey material to have some indication of reliability (quality, context, availability) so that they can judge whether the grey material is appropriate to their requirements. Rich metadata provides a mechanism for such evaluation. CERIF (Common European Research Information Format) provides such a rich metadata environment. Furthermore, CERIF allows generation of discovery level metadata (such as DC (Dublin Core), DCAT (Data Catalog Vocabulary), CKAN (Comprehensive Knowledge Archive Network) for simple retrieval or browsing and provides
navigation to more detailed and specific metadata about the grey object. CERIF provides a bridge over research datasets and open government data. CERIF thus forms the lowest common level of metadata across grey (and white) objects.
Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014).

Contains conference paper (8 pages) and presentation (23 slides).
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