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논문검색

Original Article

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

원문정보

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

김익태, 장현철, 손윤희, 김태홍

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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.

목차

Abstract
서론
본론
1. 데이터 분석
2. 데이터 심의위원회 심의 절차
3. 안정성 보고서
4. KMBIG 시스템 적용
결론
감사의 글
참고문헌

저자정보

  • 김익태 Icktae Kim. 한국한의학연구원 한의약데이터부 기술연구원
  • 장현철 Hyunchul Jang. 한국한의학연구원 한의약데이터부 책임연구원
  • 손윤희 Yunhee Son. 한국한의학연구원 한의약데이터부 기술연구원
  • 김태홍 Taehong Kim. 한국한의학연구원 한의약데이터부 책임연구원

참고문헌

자료제공 : 네이버학술정보

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