Available online 2023-11-27, published 2023-12-15, Korean Herb. Med. Inf. 2023;11(2)

한의 빅데이터 공유 활용을 위한 데이터 비식별화 파이프라인 및 심의지원 기능 개발

Development of a Data De-identification Pipeline and Review Support Functions for Utilizing Korean Medicine BigData

Abstract
In August 2020, South Korea underwent significant legal amendments. These changes affected key statutes governing personal data protection, including the Personal Information Protection Act, Credit Information Act, and the Act on Information and Communications Network. In response to these changes, government agencies have provided guidelines to facilitate data utilization while maintaining personal information protection. This paper delves into the intricate challenges of data sharing and utilization, addressing issues related to pseudonymization and the approval process, as well as managing diverse datasets and assessing the privacy risks associated with data post-pseudonymization. The proposed solution is the KMBIG system. This system dynamically adjusts pseudonymization conditions and levels, and modularizes pseudonym processing. KMBIG offers a framework to quantify the safety, personal identification risk, utility, and K-anonymity of pseudonymized data, thereby supporting the data evaluation committee's review process. The KMBIG system is designed to enhance efficient data management in sectors such as healthcare. It aims to improve data utility while ensuring the protection of personal information.

Keyword: Data Sharing and Utilization, Personal Data Protection Act, Pseudonymization Dynamic Processing, De-identification Pipeline Module, Privacy Data Risk Index

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