Bulletin of Chinese Academy of Sciences (Chinese Version)


biological resources; visualization; big data

Document Type



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.

First page


Last Page





Bulletin of Chinese Academy of Sciences


段子渊, 黄宏文, 刘杰, 等.保存国家战略生物资源的科学思考与举措.中国科学院院刊, 2007, 22(4):284-291.

刘柳, 马俊才.国际微生物大数据平台的应用与启示.中国科学院院刊, 2018, 33(8):846-852.

Thessen A, Patterson D. Data issues in the life sciences. ZooKeys, 2011, 150:15-51.

Hood L, Rowen L. The human genome project:Big science transforms biology and medicine. Genome Medicine, 2013, 5(9):79.

Wang Z, Wang Z, Li Y. Strategic planning for national biomedical big data infrastructure in China. Quantitative Biology, 2017, 5(3):272-275.

James S A, Soltis P S, Belbin L, et al. Herbarium data:Global biodiversity and societal botanical needs for novel research. Applications in Plant Sciences, 2018, 6(2):e1024.

Devictor V, Bensaude-Vincent B. From ecological records to big data:The invention of global biodiversity. History and Philosophy of the Life Sciences, 2016, 38:13.

Ladeau S L, Han B A, Rosi-Marshall E J, et al. The next decade of Big Data in ecosystem science. Ecosystems, 2017, 20(2):274-283.

Michener W K, Allard S, Budden A, et al. Participatory design of DataONE-Enabling cyberinfrastructure for the biological and environmental sciences. Ecological Informatics, 2012, 11:5-15.

Thiers B M, Tulig M C, Watson K A. Digitization of the New York Botanical Garden Herbarium. Brittonia, 2016, 68(3):324-333.

Wu L, Sun Q, Desmeth P, et al. World data centre for microorganisms:An information infrastructure to explore and utilize preserved microbial strains worldwide. Nucleic Acids Research, 2017, 45(D1):D611-D618.

马克平, 朱敏, 纪力强, 等.中国生物多样性大数据平台建设.中国科学院院刊, 2018, 33(8):838-845.

马克平.亚洲植物多样性数字化计划.生物多样性, 2017, 25(1):1-2