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Authors: Vasily Bunakov and Brian Matthews

Affiliation: Science and Technology Facilities Council, United Kingdom

ISBN: 978-989-8565-67-9

ISSN: 2184-285X

Keyword(s): Research Data, Research Lifecycle, Data Curation, Big Data, Linked Data.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Big Data ; Biomedical Engineering ; Business Cases and Cost/Benefit Analysis ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Curation ; Data Engineering ; Data Management and Quality ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Information Integration ; Information Quality ; Integration/Interoperability ; Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Organizational Concepts and Best Practices ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: The trend in research data management practice is that the role of large facilities represented by particle accelerators, neutron sources and other scientific instruments of scale extends beyond providing capabilities for the raw data collection and its initial processing. Managing data and publications catalogues, shared software repositories and sophisticated data archives have become common responsibilities of the research facilities. We suggest that facilities can further move from managing data to curating them which implies meaningful data enrichment, annotation and linkage according to the best practices which have emerged in the facilities science itself or have been borrowed elsewhere. We discuss the challenges and opportunities that are the drivers for this role transformation, and suggest a data curation framework harmonized with the research lifecycle in facilities science.

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Paper citation in several formats:
Bunakov, V. and Matthews, B. (2013). Data Curation Framework for Facilities Science.In Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-67-9, ISSN 2184-285X, pages 211-216. DOI: 10.5220/0004593302110216

author={Vasily Bunakov. and Brian Matthews.},
title={Data Curation Framework for Facilities Science},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,},


JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Data Curation Framework for Facilities Science
SN - 978-989-8565-67-9
AU - Bunakov, V.
AU - Matthews, B.
PY - 2013
SP - 211
EP - 216
DO - 10.5220/0004593302110216

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