Knowledge representation of social science quantitative research data for data curation and reuse
Data curation refers to the management of data sets (usually research data) to make them available for use by other researchers beyond the lifespan and purpose of the project for which the data was collected. The value of data curation lies in value-addition to existing data to support data reuse. T...
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/107575 http://hdl.handle.net/10220/50328 |
_version_ | 1811687869230612480 |
---|---|
author | Sun, Guangyuan |
author2 | Khoo Soo Guan, Christopher |
author_facet | Khoo Soo Guan, Christopher Sun, Guangyuan |
author_sort | Sun, Guangyuan |
collection | NTU |
description | Data curation refers to the management of data sets (usually research data) to make them available for use by other researchers beyond the lifespan and purpose of the project for which the data was collected. The value of data curation lies in value-addition to existing data to support data reuse. The scope of the study is the curation of quantitative social science research data, particularly publicly available data sets collected using survey questionnaires. The assumed context of the study is a data repository system (such as the Inter-university Consortium for Political and Social Research, and the UK Data Archive) that provides user access to curated research data and supports researchers in searching, browsing, assessing and manipulating the curated data.
The objectives of this study were: 1) to identify the user requirements for a data repository system to support the reuse of curated quantitative social science research data; 2) to develop a knowledge representation system for data repository systems to support the reuse of quantitative social science research data. |
first_indexed | 2024-10-01T05:23:10Z |
format | Thesis-Doctor of Philosophy |
id | ntu-10356/107575 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:23:10Z |
publishDate | 2019 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1075752021-12-02T02:22:20Z Knowledge representation of social science quantitative research data for data curation and reuse Sun, Guangyuan Khoo Soo Guan, Christopher Wee Kim Wee School of Communication and Information ASSGKHOO@ntu.edu.sg Library and information science::Knowledge management Data curation refers to the management of data sets (usually research data) to make them available for use by other researchers beyond the lifespan and purpose of the project for which the data was collected. The value of data curation lies in value-addition to existing data to support data reuse. The scope of the study is the curation of quantitative social science research data, particularly publicly available data sets collected using survey questionnaires. The assumed context of the study is a data repository system (such as the Inter-university Consortium for Political and Social Research, and the UK Data Archive) that provides user access to curated research data and supports researchers in searching, browsing, assessing and manipulating the curated data. The objectives of this study were: 1) to identify the user requirements for a data repository system to support the reuse of curated quantitative social science research data; 2) to develop a knowledge representation system for data repository systems to support the reuse of quantitative social science research data. Doctor of Philosophy 2019-11-05T01:44:12Z 2019-12-06T22:34:36Z 2019-11-05T01:44:12Z 2019-12-06T22:34:36Z 2019 Thesis-Doctor of Philosophy Sun, G. (2019). Knowledge representation of social science quantitative research data for data curation and reuse. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/107575 http://hdl.handle.net/10220/50328 10.32657/10356/107575 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). 254 p. application/pdf Nanyang Technological University |
spellingShingle | Library and information science::Knowledge management Sun, Guangyuan Knowledge representation of social science quantitative research data for data curation and reuse |
title | Knowledge representation of social science quantitative research data for data curation and reuse |
title_full | Knowledge representation of social science quantitative research data for data curation and reuse |
title_fullStr | Knowledge representation of social science quantitative research data for data curation and reuse |
title_full_unstemmed | Knowledge representation of social science quantitative research data for data curation and reuse |
title_short | Knowledge representation of social science quantitative research data for data curation and reuse |
title_sort | knowledge representation of social science quantitative research data for data curation and reuse |
topic | Library and information science::Knowledge management |
url | https://hdl.handle.net/10356/107575 http://hdl.handle.net/10220/50328 |
work_keys_str_mv | AT sunguangyuan knowledgerepresentationofsocialsciencequantitativeresearchdatafordatacurationandreuse |