图书情报知识 ›› 2015, Vol. 0 ›› Issue (2): 115-123.doi: 10.13366/j.dik.2015.02.115

• 知识、学习与管理 • 上一篇    

研究数据管理能力成熟度模型评析

叶兰   

Review and Analysis of Capability Maturity Model for Research Data Management

摘要:

随着越来越多的高校参与研究数据管理,评估研究数据管理过程以保证其持续性与有效性是高校管理层、研究人员及数据管理人员十分关注的重要议题。文章介绍国外利用能力成熟度模型测评高校数据管理过程的三个模型,包括雪城大学的研究数据管理能力成熟度模型、澳大利亚国家数据服务项目的研究数据管理能力成熟度模型、弗吉尼亚大学图书馆的DMVitals。采用比较分析法从适用对象、建模方法、目标与作用、优势与不足等方面比较三个模型。研究发现,各模型具有其适用范围及功能特点,高校应根据评估目标选择合适的评价模型。

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