我国战略生物资源大数据及应用

Big Data and Application of Strategic Biological Resources in China

        梁卓(中国科学院科技促进发展局 北京 100864)
        褚鑫(中国科学院重大科技任务局 北京 100864)
        曾艳(中国科学院科技促进发展局 北京 100864)
        周桔(中国科学院科技促进发展局 北京 100864)
        马俊才(中国科学院微生物研究所 北京 100101)

         生物资源;信息化;大数据

        biological resources;visualization;big data

        生物资源是国家重要的战略性资源。组学时代的到来催生数据量级的增长将推动生命科学研究向“数据密集型科学”的新范式转变。因此，生物资源的大数据与生物资源本身一样，也已成为国家战略资源，成为国际科技与产业竞争热点和战略制高点。目前，我国亟待加快建设国家级战略生物资源大数据共享平台，建立全面支撑生物资源保存、利用、开发、挖掘和可持续利用的技术体系，形成包括数据质控流程、数据存储中心、数据共享中心和数据转化中心的可对海量数据进行有效管理、高效分析和可用、易用的综合数据系统，支撑我国生物资源前沿领域科学发现和产业创新发展。中国科学院战略生物资源信息平台配合中国科学院战略生物资源服务网络的建设，形成了包括数据管理规范、数据汇集平台、数据门户和数据可视化系统在内的一套完整的数据生态，从而有效地促进了中国科学院战略生物资源数据的集成、共享、挖掘和利用。目前，该平台已经覆盖中国科学院植物园、标本馆、生物遗传资源、实验动物、生物多样性监测网络5类资源的42家单位，集成6 981 465条数据，且全部数据资源都可以通过数据门户进行共享。

        It is well understood among industries that biological resources are the strategic resources of the nation. The increase in the magnitude of the data generated by the arrival of the omniscience era will promote the transformation of life science research into a new paradigm of "data-intensive science". Therefore, the big data of biological resources has become a national strategic resource as well as the focus of international technology competition and strategic commanding heights. At present, to establish a national infrastructure for biological resources is urgently needed. This infrastructure incorporates a technical system that supports the conservation, utilization, development, mining and sustainable use of biological resources and an integrated data system which can effectively manage, analyze and use massive data. These services will contribute greatly to support the scientific discovery and industrial innovation development in the frontier of biological resources of our nation. Biological resources information platform has cooperated with Biological Resources Programme, Chinese Academy of Sciences (CAS-BRP) to form a complete data system including data management specifications, data collection platform, data portal and data visualization system, which effectively motivate the integration, sharing, mining and utilization of strategic biological resources data of CAS. The data system covers 6 981 465 data of material resources including botanical gardens, biological specimen, biological genetic resources, laboratory animals resouces and biodiversity observation and research network from 42 research institutes of the Chinese Academy of Sciences. All resources can be shared through the data portal www.casbrc.