Knowledge representation of social science research data for data curation and reuse

• Main Authors: Sun, Guangyuan, Khoo, Christopher S. G.
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Article
• Language: English
• Published: 2016
• Subjects: Data reuse; Data integration; Knowledge representation; Social science; Data curation; Quantitative data
• Online Access: https://hdl.handle.net/10356/80318; http://hdl.handle.net/10220/40493
• Institution: Nanyang Technological University

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.