Please use this identifier to cite or link to this item:
Title: Knowledge representation of social science research data for data curation and reuse
Authors: Sun, Guangyuan
Khoo, Christopher S. G.
Keywords: Data reuse
Data integration
Knowledge representation
Social science
Data curation
Quantitative data
Issue Date: 2015
Source: Sun, G., & Khoo, C. S. G. (2015). Knowledge Representation of Social Science Research Data for Data Curation and Reuse. Lecture Notes in Computer Science, 9469, 358-359.
Series/Report no.: Lecture Notes in Computer Science
Abstract: The proposed study is in the area of data curation and knowledge representation. It focuses on the issues and methods of curating quantitative social science data, to advance the methodology of data curation, and data reuse and integration in the social sciences. Socio-economic data will be the object of the study. They are defined as data that is related to people, organization and society which can be stored in a tabular format.
DOI: 10.1007/978-3-319-27974-9
Rights: © 2015 Springer International Publishing Switzerland. This is the author created version of a work that has been peer reviewed and accepted for publication by Lecture Notes in Computer Science, Springer. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

Files in This Item:
File Description SizeFormat 
Submission No. 106_Sun Guangyuan.pdf180.51 kBAdobe PDFThumbnail

Page view(s) 50

Updated on Sep 26, 2022

Download(s) 50

Updated on Sep 26, 2022

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.