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This framework was then subjected to an analysis of a real data integration case in the South Korean public sector to test its efficacy.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>To develop the GIPD framework, the authors conducted an extensive meta study, focus group interviews and the analytic hierarchy process involving field experts. Further, the authors performed topic modeling on documents from Korean research and development data integration projects, and compared the extracted factors to those of the GIPD to illustrate the latter's usefulness in a real case.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>Legislation, policy goals and strategies, operation organization, decision-making council, financial support size and objective, system development and operation, data integration, data generation, system\/data standardization and master data management were derived as the 10 important factors in implementing the GIPD framework. The illustrative case of Korea revealed that decision-making council, financial support size and objective, legislation, data generation and data integration were insufficient.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title><jats:p>Although this study reveals important findings, it has a few limitations. First, the potential factors for data governance might vary depending on the attribute of the \u201cinterviewee\u201d (such as their career or experience period) and the goal and area of GIPD framework building. Second, the inherent limitation of topic modeling in determining topics from groups of extracted keywords means that topics may be interpreted in various ways, depending on the perspective of the expert.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>This study is highly significant in that it provides a starting point for discussions on the issue of data integration among public institutions. Therefore, although this study examined public data governance based on R&amp;D data, it will contribute to providing a sufficient guideline for any type of inter-institutional data governance framework, what to discuss and how to discuss between institutions.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The findings are expected to provide a roadmap to formulate practical guidelines on inter-institutional data cooperation and a diagnostic matrix to improve the existing data governance system, especially in the public sector, from the existing practice of empirical analysis using a mixed methodology approach.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ajim-12-2022-0531","type":"journal-article","created":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T21:03:38Z","timestamp":1700168618000},"page":"213-238","source":"Crossref","is-referenced-by-count":5,"title":["Development of governance for an\u00a0integrated public data (GIPD) framework: illustrative use of GIPD\u00a0in South Korea"],"prefix":"10.1108","volume":"77","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2979-1558","authenticated-orcid":false,"given":"Haengmi","family":"Kim","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9558-4114","authenticated-orcid":false,"given":"Jaeyoung","family":"An","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7534-5570","authenticated-orcid":false,"given":"Choong C.","family":"Lee","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2023,11,17]]},"reference":[{"key":"key2025030318500122900_ref001","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1016\/j.ijinfomgt.2019.07.008","article-title":"Data governance: a conceptual framework, structured review, and research agenda","volume":"49","year":"2019","journal-title":"International Journal of Information Management"},{"key":"key2025030318500122900_ref002","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.procs.2018.10.181","article-title":"Exploring big data governance frameworks","volume":"141","year":"2018","journal-title":"Procedia Computer Science"},{"key":"key2025030318500122900_ref003","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.procs.2016.08.025","article-title":"A conceptual framework for designing data governance for cloud computing","volume":"94","year":"2016","journal-title":"Procedia Computer Science"},{"issue":"5","key":"key2025030318500122900_ref004","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1007\/s00779-017-1104-3","article-title":"A systematic literature review of data governance and cloud data governance","volume":"23","year":"2019","journal-title":"Personal and Ubiquitous Computing"},{"key":"key2025030318500122900_ref005","article-title":"Squaring the circle: using a data governance framework to support data quality","year":"2014","journal-title":"Experian"},{"key":"key2025030318500122900_ref006","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1109\/ICCONS.2017.8250563","article-title":"An overview of topic modeling methods and tools","year":"2017"},{"issue":"2","key":"key2025030318500122900_ref007","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s10796-019-09923-z","article-title":"Data governance as a collective action problem","volume":"22","year":"2020","journal-title":"Information Systems Frontiers"},{"issue":"4-5","key":"key2025030318500122900_ref008","first-page":"993","article-title":"Latent Dirichlet\u00a0allocation","volume":"3","year":"2003","journal-title":"Journal of Machine Learning Research: JMLR"},{"issue":"4","key":"key2025030318500122900_ref009","doi-asserted-by":"publisher","first-page":"11","DOI":"10.2307\/249019","article-title":"MIS problems and failures: a socio-technical perspective, part II: the application of socio-technical theory","volume":"1","year":"1977","journal-title":"MIS Quarterly"},{"issue":"3","key":"key2025030318500122900_ref010","doi-asserted-by":"publisher","first-page":"17","DOI":"10.2307\/248710","article-title":"MIS problems and failures: a socio-technical perspective. 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