：构建定性描述与定量评价相结合的科学数据素养能力指标体系，为开展全方位、有针对性的科学数据素养能力调查提供科学的评价标准和量化测评工具。基于文献调研与科学数据素养本土化特征研究，初步拟定指标体系；运用德尔菲方法，进行两轮专家咨询，通过评议各项指标的必要性和明确性确定各级指标内容；利用层次分析法通过计算专家评分从而确定指标权重。最终构建了由3个维度、18个一级指标、47个二级指标共同构成的“科学数据素养能力指标体系”，并为各维度和一级指标赋予权重值，从而保证了指标体系的科学性、通用性、前瞻性和可操作性。

The scientific data literacy competency index system combining qualitative description and quantitative evaluation were constructed to provide scientific evaluation standards and quantitative evaluation tools for conducting all-round and targeted scientific data literacy survey. Based on the literature research and the study on the localization characteristics of scientific data literacy, the index system was initially constructed, and Delphi method was used to carry out two rounds of expert consultation, and the content of each index was determined by evaluating the necessity and clarity of each index, then AHP was used to determine the index weight by calculating the expert score. Finally, the scientific data literacy competency index system composed of 3 dimensions, 18 first-level indexes and 47 second-level indexes were constructed, and the weight values were given to the dimensions and first-level indicators, so as to ensure the scientificity, universality, foresight and operability of the index system.