Bulletin of Chinese Academy of Sciences (Chinese Version)
biological resources; visualization; big data
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.
Bulletin of Chinese Academy of Sciences
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Zhuo, LIANG; Xin, CHU; Yan, ZENG; Ju, ZHOU; and Juncai, MA
"Big Data and Application of Strategic Biological Resources in China,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 34
, Article 7.
Available at: https://bulletinofcas.researchcommons.org/journal/vol34/iss12/7