Assessing requirements for research data management support in academic libraries: introducing a new multi-faceted capability tool

M Patel, Liz Lyon, Kenji Takeda

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Abstract

This paper introduces the practice of assessing requirements for research data management (RDM) support in academic libraries, building on concepts of maturity, capability and readiness. An overview of existing RDM assessment methodologies, tools and instruments is presented, with institutional exemplars from the UK and the US. Drawing on consultations with the eScience community, we describe the development of the Community Capability Model Framework (CCMF), the derived capability factors and the CCM Profile tool. Finally, a Case Study for Agronomy research data is presented, showing how the CCM Profile tool can be applied to disciplinary research, to provide summaries and visualisations of data-intensive capability, which may inform planning for RDM support services in academic libraries.
Original languageEnglish
Number of pages4
Publication statusPublished - Jun 2014
EventLibraries in the Digital Age (LIDA) 2014 - Zadar, Croatia
Duration: 16 Jun 201420 Jun 2014

Conference

ConferenceLibraries in the Digital Age (LIDA) 2014
CountryCroatia
CityZadar
Period16/06/1420/06/14

Keywords

  • Research data management services
  • Capability assessment models
  • Data-intensive science

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    Patel, M., Lyon, L., & Takeda, K. (2014). Assessing requirements for research data management support in academic libraries: introducing a new multi-faceted capability tool. Paper presented at Libraries in the Digital Age (LIDA) 2014, Zadar, Croatia.