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Common data model and database system development for the Korea biobank network

  • Soo Jeong Ko
  • , Wona Choi
  • , Ki Hoon Kim
  • , Seo Joon Lee
  • , Haesook Min
  • , Seol Whan Oh
  • , In Young Choi
  • The Catholic University of Korea, College of Medicine
  • The Catholic University of Korea
  • Korea National Institute of Health

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The importance of clinical information related to specimens is increasing due to the research on human biological specifications being conducted worldwide. In order to utilize data, it is necessary to define the range of data and develop a standardized system for collected resources. The purpose of this study is to establish clinical information standardization and to allow clinical information management systems to improve the utilization of biological specifications. The KBN CDM, consisting of 18 tables and 177 variables, was developed. The clinical information codes were mapped in standard terms. The 27 diseases in the group were collected from 17 biobanks, and all disorders not belonging to the group were standardized and loaded. We also developed a system that provides statistical visualization screens and data retrieval tools for data collection. This study developed a unified management system to model KBN CDM that collects standardized data, manages clinical information, and shares the information systematically. Through this system, all participating biobanks can be integrated into one system for integrated management and research.

Original languageEnglish
Article number11825
JournalApplied Sciences (Switzerland)
Volume11
Issue number24
DOIs
StatePublished - 1 Dec 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biological specimen banks
  • Clinical information system
  • Common data model
  • Data manage-ment
  • Korea Biobank Network

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