引进共享生物数据的韩国生物数据站(K-BDS)。

Q2 Agricultural and Biological Sciences
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
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引用次数: 3

摘要

一波新技术浪潮为经济高效地生成高通量生物系统图谱创造了机会,预示着“数据驱动的科学”时代的到来。从生物研究中获得的大量数据也是一种丰富的资源,可以用于创新努力。然而,由于生物数据的复杂性及其以前所未有的指数速度产生,我们在大数据沉积、整合和转化方面面临着相当大的挑战。为了解决这些问题,韩国政府于2020年正式公布了收集和管理通过国家研发基金拨款产生的生物数据并向研究人员提供这些数据的国家战略。为此,韩国生物信息中心(KOBIC)开发了一个新的生物数据存储库——韩国生物数据站(K-BDS),用于共享个人研究人员和研究项目的数据,以创建数据驱动的生物研究环境。K-BDS致力于提供一套免费开放的特色数据资源,以支持学术界和工业界的全球活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Introduction of the Korea BioData Station (K-BDS) for sharing biological data.

Introduction of the Korea BioData Station (K-BDS) for sharing biological data.

Introduction of the Korea BioData Station (K-BDS) for sharing biological data.

Introduction of the Korea BioData Station (K-BDS) for sharing biological data.

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.

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来源期刊
Genomics and Informatics
Genomics and Informatics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
12 weeks
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