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

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 wer...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of environmental research and public health Vol. 16; no. 13; p. 2290
Main Authors Cha, Hyo Soung, Jung, Jip Min, Shin, Seob Yoon, Jang, Young Mi, Park, Phillip, Lee, Jae Wook, Chung, Seung Hyun, Choi, Kui Son
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 28.06.2019
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph16132290