{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T20:08:28Z","timestamp":1730232508928,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,3,14]]},"DOI":"10.1109\/iccae59995.2024.10569739","type":"proceedings-article","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T17:28:54Z","timestamp":1719854934000},"page":"64-69","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Data Governance through Data-Centric AI: Case Study in New Zealand Government Sector"],"prefix":"10.1109","author":[{"given":"Alex X.","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics Victoria University of Wellington,Wellington,New Zealand"}]},{"given":"Colin R.","family":"Simpson","sequence":"additional","affiliation":[{"name":"Wellington Faculty of Health Victoria University of Wellington,Wellington,New Zealand"}]},{"given":"Binh P.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics Victoria University of Wellington,Wellington,New Zealand"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Privacy and utility of private synthetic data for medical data analyses","volume-title":"Applied Sciences 12(23)","volume":"12320","author":"Appenzeller","year":"2022"},{"issue":"107435","key":"ref2","article-title":"On the use of random forest for two-sample testing","volume-title":"Computational Statistics & Data Analysis","volume":"170","author":"Hediger","year":"2022"},{"key":"ref3","first-page":"28","article-title":"Synthetic data generation for tabular health records: A systematic review","volume-title":"Neurocomputing","volume":"493","author":"Hernandez","year":"2022"},{"volume-title":"Diabetes. UCI Machine Learning Repository","author":"Kahn","key":"ref4"},{"key":"ref5","first-page":"1379","article-title":"Privacy-preserving synthetic data generation for recommendation systems","volume-title":"In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Liu","year":"2022"},{"issue":"2","key":"ref6","first-page":"289","article-title":"Government data governance frame-work based on a data middle platform","volume-title":"Aslib Journal of Information Management","volume":"74","author":"Mao","year":"2022"},{"issue":"3","key":"ref7","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1080\/03036758.2022.2072905","article-title":"Longitudinal research in Aotearoa New Zealand using the integrated data infrastructure: a review","volume":"52","author":"Milne","year":"2022","journal-title":"Journal of the Royal Society of New Zealand"},{"key":"ref8","first-page":"1","article-title":"Synthpop: Bespoke creation of synthetic data in R","volume-title":"Journal of Statistical Software","volume":"74","author":"Nowok","year":"2016"},{"issue":"2","key":"ref9","first-page":"100177","article-title":"Comparison of tabular synthetic data generation techniques using propensity and cluster log metric","volume-title":"International Jour-nal of Information Management Data Insights","volume":"3","author":"Pathare","year":"2023"},{"key":"ref10","first-page":"129","article-title":"Synthetic data","volume-title":"Annual review of statistics and its ap-plication","volume":"8","author":"Raghunathan","year":"2021"},{"volume-title":"credit risk customers","year":"2023","author":"van Rijn","key":"ref11"},{"key":"ref12","article-title":"Assessing be-havioral data science privacy issues in government artificial intelligence deployment","volume-title":"Government Information Quarterly 39(4)","volume":"101679","author":"Saura","year":"2022"},{"article-title":"UCI: Taiwanese bankruptcy prediction","volume-title":"UCI Machine Learning Repos-itory","year":"2020","key":"ref13"},{"issue":"2","key":"ref14","first-page":"49","volume":"15","author":"Vanschoren","year":"2014","journal-title":"OpenML: networked science in machine learning. ACM SIGKDD Explorations Newsletter"},{"key":"ref15","first-page":"339","article-title":"Privacy preserving generative adversarial networks to model electronic health records","volume-title":"Neural Networks","volume":"153","author":"Venugopal","year":"2022"},{"key":"ref16","first-page":"313","article-title":"Ensemble k-nearest neighbors based on centroid displacement","volume-title":"Information Sciences","volume":"629","author":"Wang","year":"2023"},{"issue":"110895","key":"ref17","article-title":"Synthetic minority oversampling using edited displacement-based k-nearest neighbors","volume-title":"Applied Soft Computing","volume":"148","author":"Wang","year":"2023"},{"key":"ref18","article-title":"Enhancing public research on citizen data: An em-pirical investigation of data synthesis using statistics new zealands integrated data infrastructure","volume":"103558","author":"Wang","year":"2024","journal-title":"Information Processing & Management 61(1)"},{"key":"ref19","first-page":"7335","article-title":"Modeling tabular data using conditional GAN","volume-title":"Advances in Neural Information Processing Systems","author":"Xu","year":"2019"},{"issue":"103595","key":"ref20","article-title":"A reference framework for the implementation of data governance systems for industry 4.0","volume-title":"Computer Standards & Interfaces","volume":"81","author":"Zorrilla","year":"2022"}],"event":{"name":"2024 16th International Conference on Computer and Automation Engineering (ICCAE)","start":{"date-parts":[[2024,3,14]]},"location":"Melbourne, Australia","end":{"date-parts":[[2024,3,16]]}},"container-title":["2024 16th International Conference on Computer and Automation Engineering (ICCAE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10569140\/10569143\/10569739.pdf?arnumber=10569739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T04:43:49Z","timestamp":1719895429000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10569739\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,14]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/iccae59995.2024.10569739","relation":{},"subject":[],"published":{"date-parts":[[2024,3,14]]}}}