How to Evaluate and Select a Data Repository for Humanities and Social Science: A Case Study of Fudan University Data Repository for Humanities and Social Science

The evaluation and selection of the Data Repository for Humanities and Social Science (DRHSS) lacks efficient reference models, which affects the quality of DRHSS selection decision making. Based on literature research, field research, and a focus group method, this research proposes an evaluation criteria framework for the DRHSS system, which comprehensively uses qualitative assessment and quantitative assessment methods. Qualitative assessment focuses on comparative analysis of system functions, and a quantitative assessment describes the evaluation criteria framework and its comprehensive weighting score system. We want to apply the evaluation and selection criteria framework to assess the most appropriate system to ensure economical and technical feasibility. This case study looks at Fudan University’s investigation of the four major data repository platforms, Dspace, Fedora Commons, Dataverse, Nesstar, and an online analysis software application, SDA. Furthermore, we provide guidance for using the framework along with recommendations and limitations.