Data Intensive Science: Shades of Grey

Author(s)
Keywords

CERIF

metadata

grey literature

datasets

contextual metadata

discovery metadata

Issue Date
May 14, 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)
Type
Conference Paper
Abstract
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.
Description
Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014).
Contains conference paper (8 pages) and presentation (23 slides).
URI
https://dspacecris.eurocris.org/handle/11366/189
DOI
File(s)
Thumbnail Image
Name

19_Jeffery_Asserson_CRIS2014_Rome.pdf

Description
post-print version
Size

343.46 KB

Format

Adobe PDF

Checksum (MD5)

8f619968c4d57a17a81f6ce9aab3d42f

Thumbnail Image
Name

WF1_Jeffery_Asserson_CRIS2014.pdf

Description
presentation
Size

968.2 KB

Format

Adobe PDF

Checksum (MD5)

b4a632ab2ba044e69d81f91a24b021d2