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The Korea Cancer Big Data Platform (K-CBP) for Cancer Research

Author

Listed:
  • Hyo Soung Cha

    (Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea)

  • Jip Min Jung

    (Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea)

  • Seob Yoon Shin

    (Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea)

  • Young Mi Jang

    (Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea)

  • Phillip Park

    (Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea)

  • Jae Wook Lee

    (Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea
    National Cancer Center Hospital, National Cancer Center, Goyang 10408, Korea)

  • Seung Hyun Chung

    (Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea)

  • Kui Son Choi

    (Department of Cancer Control and Policy, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang 10408, Korea)

Abstract

Data warehousing is the most important technology to address recent advances in precision medicine. However, a generic clinical data warehouse does not address unstructured and insufficient data. In precision medicine, it is essential to develop a platform that can collect and utilize data. Data were collected from electronic medical records, genomic sequences, tumor biopsy specimens, and national cancer control initiative databases in the National Cancer Center (NCC), Korea. Data were de-identified and stored in a safe and independent space. Unstructured clinical data were standardized and incorporated into cancer registries and linked to cancer genome sequences and tumor biopsy specimens. Finally, national cancer control initiative data from the public domain were independently organized and linked to cancer registries. We constructed a system for integrating and providing various cancer data called the Korea Cancer Big Data Platform (K-CBP). Although the K-CBP could be used for cancer research, the legal and regulatory aspects of data distribution and usage need to be addressed first. Nonetheless, the system will continue collecting data from cancer-related resources that will hopefully facilitate precision-based research.

Suggested Citation

  • Hyo Soung Cha & Jip Min Jung & Seob Yoon Shin & Young Mi Jang & Phillip Park & Jae Wook Lee & Seung Hyun Chung & Kui Son Choi, 2019. "The Korea Cancer Big Data Platform (K-CBP) for Cancer Research," IJERPH, MDPI, vol. 16(13), pages 1-13, June.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:13:p:2290-:d:243691
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    References listed on IDEAS

    as
    1. Wen-Hsien Ho & King-Teh Lee & Hong-Yaw Chen & Te-Wei Ho & Herng-Chia Chiu, 2012. "Disease-Free Survival after Hepatic Resection in Hepatocellular Carcinoma Patients: A Prediction Approach Using Artificial Neural Network," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-9, January.
    2. Kim, Jaehoon & Kim, Sangsin, 2015. "2012년 국회법 개정의 효과 연구 [A Study on the Effect of the 2012 National Assembly Act Amendment]," KDI Research Monographs, Korea Development Institute (KDI), volume 127, number v:2015-03(k):y:2015:p:1-1.
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