关键词: 能力成熟度模型, 数据管理, 研究数据, 数据密集型研究, 雪城大学, 澳大利亚国家数据服务项目, 弗吉尼亚大学图书馆

Abstract:

As more and more universities invest in research data management (RDM), it has become increasingly important for administrators, researchers, and managers to be able to evaluate RDM process for sustainability and efficiency. This paper introduces three applications of Capability Maturity Model (CMM) for RDM for the purpose of process assessment, including CMM for RDM developed by Syracuse University, The Australian National Data Service’s Research Data Management Capability Maturity, DMVitals developed by University of Virginia Library. Then the paper uses the comparative method to analyze the three models from the aspects of scope, modeling method, functions, advantages and disadvantages. The study found each model had its applicability and characteristics, universities should choose appropriate evaluation model based on specific goals.

Key words: Capability maturity model, Data management, Research data, Data-intensive research, Syracuse university, Australian national data service, University of Virginia Library