Abstract
Scientific research activities generate a large amount of data, which varies in format, volume, structure and ownership. Although there are revision control systems and databases developed for data archiving, the traditional data management methods are not suitable for High-Performance Computing (HPC) systems. The files in such systems do not have semantic annotations and cannot be archived and managed for public dissemination.
We have proposed and developed a Research Data Management (RDM) system, ‘iCurate’, which provides easy-to-use RDM facilities with semantic annotations. The system incorporates Metadata Retrieval, Departmental Archiving, Workflow Management System, Meta data Validation and Self Inferencing. The ‘i’ emphasises the user-oriented design. iCurate will support researchers by annotating their data in a clearer and machine readable way from its production to publication for the future reuse.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
DataFlow: About datastage. http://www.dataflow.ox.ac.uk/index.php/datastage/ds-about
DataFlow: Databank. http://www.dataflow.ox.ac.uk/index.php/databank
(DCC), D.C.C.: Dmponline (2015). https://dmponline.dcc.ac.uk
European Commission: Results of the consultation on open research data, July 2013. http://ec.europa.eu/digital-agenda/node/67533
ISO: Iso 14721:2003 subscribe to updates space data and information transfer systems - open archival information system - reference model (2012). http://www.iso.org/iso/catalogue_detail.htm?csnumber=24683
Jones, S.: New checklist for a data management plan July 2013. http://www.dcc.ac.uk/resources/data-management-plans/checklist
Allinson, J., François, S., Lewis, S.: SWORD: Simple Web-service Offering Repository Deposit. Ariadne 54, January 2008. http://www.ariadne.ac.uk/issue54/allinson-et-al/
Taverna: Taverna (2014). http://www.taverna.org.uk/
The Pennsylvania State University: Data management toolkit, December 2014. https://www.libraries.psu.edu/psul/researchguides/pubcur/datatoolkit.html
The Regents of the University of California: Dataup: Describe, manage and share your data. http://dataup.cdlib.org
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Liang, S., Holmes, V., Antoniou, G., Higgins, J. (2015). iCurate: A Research Data Management System. In: Bikakis, A., Zheng, X. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2015. Lecture Notes in Computer Science(), vol 9426. Springer, Cham. https://doi.org/10.1007/978-3-319-26181-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-26181-2_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26180-5
Online ISBN: 978-3-319-26181-2
eBook Packages: Computer ScienceComputer Science (R0)