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Korean J Gastroenterol 2020; 75(1): 4-10  https://doi.org/10.4166/kjg.2020.75.1.4
Research Using Big Data in Gastroenterology - Based on the Outcomes from Big Data Research Group of the Korean Society of Gastroenterology -
Jie-Hyun Kim, Hyunsoo Chung1, Hyun-Soo Kim2 , Su Young Kim2, Jae Myung Cha3, Chang Kyun Lee3, Byung Kyu Park4 and Sohee Park5; for the Big Data Research Group of the Korean Society of Gastroenterology
Department of Internal Medicine, Yonsei University College of Medicine; Department of Internal Medicine, Seoul National University College of Medicine1, Seoul; Department of Internal Medicine, Yonsei University Wonju College of Medicine2, Wonju; Department of Internal Medicine, Kyung Hee University College of Medicine3, Seoul; Division of Gastroenterology, National Health Insurance Service Ilsan Hospital4, Goyang; Graduate School of Public Health, Yonsei University5, Seoul, Korea
Correspondence to: Hyun-Soo Kim, Department of Internal Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-dong, Wonju 26426, Korea. Tel: +82-33-741-0505, Fax: +82-33-741-1228, E-mail: hyskim@yonsei.ac.kr, ORCID: https://orcid.org/0000-0001-7190-0362
Received: November 27, 2019; Revised: December 9, 2019; Accepted: December 9, 2019; Published online: January 25, 2020.
© The Korean Journal of Gastroenterology. All rights reserved.

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
The Big Data Research Committee of the Korean Society of Gastroenterology conducted activities and researches with three goals. First, it provides the basis for proper and cost-effective treatment of digestive diseases in Korea. Second, it carries out population- level global research by establishing a system of big data analysis related to gastroenterology. Third, it provides the members of the Korean Society of Gastroenterology with the opportunity to plan and assess the public interest related to big data. The studies published by the committee members in this paper were carried out under these objectives, and the findings are believed to have achieved the public interest goals that may be helpful in the current medical and health policy. The construction of the big data infrastructure for digestive drugs is also underway, and we expect to see meaningful results pertaining to important digestive drugs. Research using public health medical big data, such as the National Health Insurance Corporation data base, should ultimately provide a basis for reflecting public messages and policies for the public. To this end, it is necessary for Korean researchers to lead efforts to lower the barriers and to approach relevant information and opportunities using big data research.
Keywords: Research; Big data; Gastroenterology

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