SPEC Kit 334: Research Data Management Services (July 2013)
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SPEC Kit 334: Research Data Management Services · 11 EXECUTIVE SUMMARY Introduction With an increased emphasis on open data, data man- agement planning requirements, and potential “big data” research opportunities, research institutions are recognizing an emerging demand to provide a wider and more refined array of data services to meet needs at different points in the research process. Many research libraries are answering that demand by expanding or adopting new research data services, most within the last three years. The timing was ap- propriate, therefore, to survey ARL member libraries, assessing early endeavors, and benchmarking future growth as we anticipate demands for these services to expand and for libraries to find new opportunities for relevant services. In this context, we identified two emerging areas of services that are relatively new for member librar- ies. These are research data management, which en- ters the research process at the grant proposal stage in meeting data management planning requirements, and in various ways during the research process. Second is support for data archiving, at a project’s end for preservation and online dissemination to facilitate data sharing, and in providing new data resources for discovery. This survey will use the term “research data management services” (RDMS) to refer collec- tively to library activities surrounding data manage- ment and archiving. Our survey also addresses contextual require- ments for planning, developing, staffing, and manag- ing new research data management services. Finding necessary expertise and funding for new positions is challenging, but creative new models of service provision are emerging. Collaboration across institu- tional units is one route toward unearthing expertise and knowledge to help researchers at all stages of the research process and to provide data manage- ment support. Our survey findings, however, point to the “growing pains” of new service development, with challenges such as initiating and encouraging campus-wide coordination that addresses gaps and overlapping services. Responses throughout the sur- vey show that libraries are still in the early stages of development and implementation of RDMS. In most cases, services are evolving ahead of evidence of which models and strategies will prove most ef- fective or successful. Variables for that development include the structured and unstructured institutional environment for new research services: Are more universities recognizing a community need formally through data policies (See Q1)? Are administration and researchers looking to libraries for solutions or are libraries taking their own initiative (Q6)? At what stage are libraries in conducting needs analysis to guide service development, engaging in active out- reach to communicate their provision of new services (Q50), or assessing their early efforts (Q51)? This SPEC survey of research data management services at ARL libraries joins a growing literature of surveys and case studies covering various dimensions of this emerging domain.1 To a degree, we are still learning what questions we should ask to assess cur- rent practices and provide benchmarks for assessing future developments. We address a breadth of aspects that has not been consolidated before to encourage further research, but perhaps more importantly, to give libraries a timely orientation to the challenges and benefits of offering research data management services (henceforth referred to as RDM services).