Authors:
Vasily Bunakov
and
Brian Matthews
Affiliation:
Science and Technology Facilities Council, United Kingdom
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.