Bulletin of Chinese Academy of Sciences (Chinese Version)


scientific data stewardship; scientific data sharing; scientific data policy; open data

Document Type



As the soul of research activities, scientific data is not only the inputs for stimulating scientific research innovation, but also the indispensable outcomes during research. Tracing the policies and practices on scientific data management and sharing, main development trends have been identified as "positive and gentle research data policy" as well as "full and delicate scientific data management". Upon comparison of domestic and international policies and practices, we figure out that the national scientific data policy development is still at its early stage while multidisciplinary practices on research stewardship are still on demand. The open data trend could positively nourish better scientific data management and establishment of research data sharing culture. More involvement of different stakeholders is still in urgent need. Further, gentle and positive sharing trend will still last; public data rights shall continue tradeoff against private data rights fiercely. IT innovation and redefinition of scientific data management could benefit data sharing as well.

First page


Last Page





Bulletin of Chinese Academy of Sciences


Pfenninger S, De Carolis J, Hirth L, et al. The importance of open data and software:Is energy research lagging behind? Energy Policy, 2017, 101:211-215.

NSF National Science Board. Long-lived digital data collections:enabling research and education in the 21st century. Washington DC:NSF, 2005.

Schrier B. Government open data:Benefits, strategies, and use. The Evans School Review, 2014, 4(1):12-27.

Fecher B, Friesike S, Hebing M. What drives academic data sharing? PLoS ONE, 2015, 10(2):e0118053.

DataOne. Sharing data: legal and policy considerations. [2018-07-02]. https://www.dataone.org/best-practices/sharing-data-legaland-policy-considerations.

Institute of Medicine. Sharing Clinical Trial Data:Maximizing Benefits, Minimizing Risk. Washington, DC:The National Academies Press, 2015.

Robert C, Zeckhauser R. The Methodology of Normative Policy Analysis. Journal of Policy Analysis and Management, 2011, 30(3):613-643.

Briney K, Goben A, Zilinsk L. Do You Have an Institutional Data Policy? A review of the current landscape of library data services and institutional data policies. Journal of Librarianship and Scholarly Communication, 2015, 3(2):eP1232.

Naughton L, Kernohan D. Making sense of journal research data policies. Insights, 2016, 29(1):84-89.

Kanous A, Brock E. Contractual Limitations on Data Sharing. [2016-08-18]. http://deepblue.lib.umich.edu/bitstream/2027.42/123016/1/ContractualLimitationsonDataSharing150411-1.pdf.

Defense Information System Agency. Data rights. [2018-07-01]. https://disa.mil/About/Legal-and-Regulatory/DataRights-IP/DataRights.

Tumwesigye B T, Nakanjako D, Wanyenze R, et al. Policy development, implementation and evaluation by the AIDS control program in uganda:A Review of the Processes. Health Res Policy, 2013, (11):7.

Wilkinson M D, Dumontier M, Aalbersberg I J, et al. The FAIR Guiding Principles for scientific data management and stewardship. Nature Scientific Data, 2016, 3:167-172.

European Commission Directorate-General for Research & Innovation. H2020 Programme: Guidelines on FAIR Data Management in Horizon 2020. [2018-07-01]. http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf.

Boulton G, Campbell P, FREng B C, et al. Science as An Open Enterprise. London:The Royal Society Science Policy Centre, 2012.

EU GDPR Information Portal. GDPR Key Changes. [2018-07-03]. https://www.eugdpr.org/the-regulation.html.

KBase. Data policies. [2018-07-01]. https://kbase.us/data-policyand-sources/.

FAIRsharing. org. Policies. [2018-07-01]. https://fairsharing.org/policies/.

Stipcompass. Homepage. [2018-07-01]. https://stip.oecd.org/stip.html.

Economic and Social Research Council. Research Data Policy. [2018-07-01]. https://esrc.ukri.org/funding/guidance-for-grantholders/research-data-policy/.

National Science Foundation. Dissemination and Sharing of Research Results. [2018-07-01]. https://www.nsf.gov/bfa/dias/policy/dmp.jsp.

National Science Foundation. Chapter Ⅱ-Proposal Preparation Instructions. [2018-07-01]. https://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#dmp.

黎建辉, 沈志宏, 孟小峰.科学大数据管理:概念、技术与系统.计算机研究与发展, 2017, 54(2):235-247.

袁勇, 王飞跃.区块链技术发展现状与展望.自动化学报, 2016, 42(4):481-494.

丁伟, 王国成, 许爱东, 等.能源区块链的关键技术及信息安全问题研究.中国电机工程学报, 2018, 38(4):1026-1034.

薛腾飞, 傅群超, 王枞, 等.基于区块链的医疗数据共享模型研究.自动化学报, 2017, 43(9):1555-1562.

周舟. 综述: 公民科学在美国日益兴起. [2018-08-19]. http://www.xinhuanet.com/world/2018-06/14/c_1122987853.htm.

CSA. The power of Citizen Science. [2018-08-19]. http://www.citizenscience.org/.

The DDI Alliance. New DDI 3. 3 specification available for public review and comment. [2018-06-30]. http://www.ddialliance.org/announcement/new-ddi-33-specification-available-for-public-review-and-comment.

ICSU World Data System. Core Trustworthy Data Repositories Requirements. [2018-07-05]. https://www.coretrustseal.org/wpcontent/uploads/2017/01/Core_Trustworthy_Data_Repositories_Requirements_01_00.pdf.

ELIXIR. Training services. [2018-07-01]. https://www.elixireurope.org/services/training.

Jisc. CAiRO: Curating Artistic Research Output. [2018-07-01]. https://www.webarchive.org.uk/wayback/archive/20140614073310/http://www.jisc.ac.uk/whatwedo/programmes/mrd/rdmtrain/cairo.aspx.

Archaeology Data Service. Data train. [2018-07-01]. http://archaeologydataservice.ac.uk/learning/DataTrain.xhtml.

Mantra. Home. [2018-07-01]. https://mantra.edina.ac.uk/.

Data Carpentry. Home. [2018-07-02]. http://www.datacarpentry.org.

Codata. Open Data and Information for a Changing Planet. [2018-07-03]. http://codata2012.tw/.

Association for Information Science & Technology. Research Data Access & Preservation Summit. [2018-07-03]. https://www.asist.org/rdap/past-events/#comments.

The Institute for Quantitative Social Science. IQSS Data Science: Aiding Reproducible Research By Adding Provenance in Data Citations. [2018-07-03]. https://www.iq.harvard.edu/news/iqssdatascience-aiding-reproducible-research-adding-provenancedata-citations.

DataCite. Why is it so important to cite data?[2018-07-03]. https://www.datacite.org/cite-your-data.html.

ICPS. Find & Analyze Data. [2018-07-03]. https://www.icpsr.umich.edu/icpsrweb/ICPSR/curation/citations.jsp.

刘俏. Altmetrics指标与传统计量指标对学术论文评价的关系研究.情报理论与实践, 2018, 41(7):60-64.

顾立平.数据级别计量——概念辨析与实践进展.中国图书馆学报, 2015, 41(2):56-71.

宋戈, 胡文静.国外强制性开放科学数据政策调研与分析.图书情报工作, 2016, 60(9):61-69.

Murray T. Researchers oppose data-sharing proposal. Canadian Medical Association Journal, 2016, 188(14):E336

Anne Marie Smith. Foundations of data stewardship. [2018-07-01]. https://www.ewsolutions.com/foundations-data-stewardship/.