科学数据管理中的数据选择与评价关键要素研究

Research on the Key Elements of Data Selection and Evaluation in Scientific Data Management

[目的/意义]为了优化数据资源质量,提高数据管理效率;降低数据管理成本和管理风险,杜绝造假数据的流入,数据收藏和服务机构需要对数据进行选择与评价,进而收集和保留具有长期保存价值的数据集,剔除没有保存价值的数据集。[方法/过程]文章对数据选择与评价的关键构成要素如选择与评价政策、主体职能定位、评价标准和评价决策过程进行了分析研究。[结果/结论]数据选择及评价是数据管理中的一项重要工作,必须厘清相关利益主体的职能定位、建立完善的数据选择与评价政策、评价标准,做出科学的评价决策,才能做好数据选择和评价工作。

[Purpose/significance] In order to optimize the quality of data resources,improve data management efficiency,reduce data management costs and management risks,and prevent the inflow of false data,data collection and service agencies need to select and evaluate data before collecting and keeping data sets with long-term preservation value and abandoning data sets with little value. [Method/process] This paper analyzes the key elements of data selection and evaluation,such as selection and evaluation policy,the function positioning of stakeholders,evaluation criteria and decision-making process. [Result/conclusion]Data selection and evaluationare important in data management. Only by clarifying the function positioning of the relevant stakeholders,establishing complete data selection and evaluation policies and criteria,and making scientific evaluation decisions can we do data selection and evaluation work better.