Byungwook Lee, Seungwoo Hwang, Pan-Gyu Kim, Gunwhan Ko, Kiwon Jang, Sangok Kim, Jong-Hwan Kim, Jongbum Jeon, Hyerin Kim, Jaeeun Jung, Byoung-Ha Yoon, Iksu Byeon, Insu Jang, Wangho Song, Jinhyuk Choi, Seon-Young Kim
{"title":"Introduction of the Korea BioData Station (K-BDS) for sharing biological data.","authors":"Byungwook Lee, Seungwoo Hwang, Pan-Gyu Kim, Gunwhan Ko, Kiwon Jang, Sangok Kim, Jong-Hwan Kim, Jongbum Jeon, Hyerin Kim, Jaeeun Jung, Byoung-Ha Yoon, Iksu Byeon, Insu Jang, Wangho Song, Jinhyuk Choi, Seon-Young Kim","doi":"10.5808/gi.22073","DOIUrl":null,"url":null,"abstract":"<p><p>A wave of new technologies has created opportunities for the cost-effective generation of high-throughput profiles of biological systems, foreshadowing a \"data-driven science\" era. The large variety of data available from biological research is also a rich resource that can be used for innovative endeavors. However, we are facing considerable challenges in big data deposition, integration, and translation due to the complexity of biological data and its production at unprecedented exponential rates. To address these problems, in 2020, the Korean government officially announced a national strategy to collect and manage the biological data produced through national R&D fund allocations and provide the collected data to researchers. To this end, the Korea Bioinformation Center (KOBIC) developed a new biological data repository, the Korea BioData Station (K-BDS), for sharing data from individual researchers and research programs to create a data-driven biological study environment. The K-BDS is dedicated to providing free open access to a suite of featured data resources in support of worldwide activities in both academia and industry.</p>","PeriodicalId":36591,"journal":{"name":"Genomics and Informatics","volume":"21 1","pages":"e12"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085736/pdf/","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5808/gi.22073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 3
Abstract
A wave of new technologies has created opportunities for the cost-effective generation of high-throughput profiles of biological systems, foreshadowing a "data-driven science" era. The large variety of data available from biological research is also a rich resource that can be used for innovative endeavors. However, we are facing considerable challenges in big data deposition, integration, and translation due to the complexity of biological data and its production at unprecedented exponential rates. To address these problems, in 2020, the Korean government officially announced a national strategy to collect and manage the biological data produced through national R&D fund allocations and provide the collected data to researchers. To this end, the Korea Bioinformation Center (KOBIC) developed a new biological data repository, the Korea BioData Station (K-BDS), for sharing data from individual researchers and research programs to create a data-driven biological study environment. The K-BDS is dedicated to providing free open access to a suite of featured data resources in support of worldwide activities in both academia and industry.