[Objective] The implementation details of data curation promotes to establish data curation policy. [Methods] Based on reviewing the research achievements related to data curation, and then systematically concluded from the aspects as data selection standards, data storage standards, data communication and sharing mechanism. [Results] The main elements of data curation policy include: data selection standards (compliance with the requirements of data submission process, priority selection principle, the statement of data credibility and availability, data sources uncontroversial), data storage standard (follow the policy, guarantee data integrity, meet common technical standards, guarantee long-term sustainable development), and data communication and sharing mechanism (accordance with the laws and industrial directory, open access license, disclaimer propagation behavior, data reuse documentation). [Limitations] In the future, need to combine with the reality of China to complete the policy framework in detail. [Conclusions] Research organizations, associations and funding agencies should actively promote and develop data curation policy.
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