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KERD
논문KCI 등재

The Cancer Clinical Library Database (CCLD) from the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) Project

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초록

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

Abstract

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

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관련 논문AI추천

Data Resource Profile: The Cancer Public Library Database in South Korea공현주, 국민영, 김현진, 김혜리, 김환희, 류광선, 임정수, 전영상, 정집민, 차효성, 채희정, 최귀선, 최동우대한암학회 · Cancer Research and Treatment2024 · 제56권 제4호Data profile: cancer sample cohorts (stomach, breast, colorectal, and liver) in KoreaChae Heejung, Choi Dong-Woo, Choi Kui Son, Guk Minyeong, Jang Suk-Yong, Jeon Jehoo, Kim Dong Wook, Kim Gi Hyun, Kim Hyeri, Kong Hyun-Joo, Lee Ga Ram, Nam Ji Woong, Noh Jin-Won, Oh Ju-Won, Pak Daewoo, Park Dayun, Yoo Ki-Bong, Yoon Jin-Ha, Yun Byung-Yoon한국역학회 · Epidemiology and Health2025 · 제47권 The Awareness and Usage of Big Data for Cancer in Korea: A Survey Study백은실, 신상준, 이충근, 장지석, 최정은한국보건정보통계학회 · 보건정보통계학회지2021 · 제46권 제2호Validation of Cancer Diagnosis Based on the National Health Insurance Service Database versus the National Cancer Registry Database in Korea김규웅, 김영애, 박민애, 백종환, 서화정, 신지혜, 양민수, 이경현대한암학회 · Cancer Research and Treatment2022 · 제54권 제2호The Korea Cohort Consortium: The Future of Pooling Cohort Studies김정선, 신애선, 지선하, Daehee Kang, Inah Kim, Jung Eun Lee, Keun-Young Yoo, Kwang-Pil Ko, Min-Ho Shin, Sang-Jun Lee, Sangmin Park, Sang-Wook Yi, Seung Ho Choi, Seungho Ryu, Sue K. Park, Sun-Seog Kweon, Sun Young Yang대한예방의학회 · 예방의학회지2022 · 제55권 제5호의무기록의 다각적 활용을 통한 충실도 높은 병원 암등록 체계의 구축: 서울아산병원의 경험김화정, 유용만, 이무송, 이선혜, 조진희, 황경하대한예방의학회 · 예방의학회지2010 · 제43권 제3호

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