Data infrastructure, Research data management, Data services, Metadata standards, Data policies
Library and Information Science
This paper discusses the needs and importance of research data management and introduces the concept of research data management as an infrastructure service. Although many resources have been made available for research data management, most of them are developed as “islands” and lack linking mechanisms. The lack of integrated and interconnected resources has contributed to high cost and duplicated efforts in data management operations. The vision of research data management as an infrastructure service is not only to improve the efficiency of research data management but also the productivity of the research enterprise. Each of the three dimensions—infrastructure, standards, and policies— addresses a critical aspect of research data managementto make the data infrastructure services work.
Qin, J. (2013). Infrastructure, Standards, and Policies for Research Data Management. In: Sharing of Scientific and Technical Resources in the Era of Big Data: The Proceedings of COINFO 2013, pp. 214-219. Beijing: Science Press.
Creative Commons License
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