Developing a Community Capability Model Framework for data-intensive research

Abstract

Researchers across a range of fields have been inspired by the possibilities of data-intensive research. In many cases, however, researchers find themselves unable to take part due to a lack of facilities, insufficient access to data, cultural disincentives, and a range of other impediments. In order to develop a deeper understanding of this, UKOLN, University of Bath and Microsoft Research have been collaborating on developing a Community Capability Model Framework (CCMF) designed to assist institutions, research funding-bodies and researchers to enhance the capability of their communities to perform data-intensive research. This paper explores the rationale for using capability modelling for informing the development of data-intensive research and outlines the main capability factors underlying the current version of the CCMF.

Details

Creators
Liz Lyon; Alexander Ball; Monica Duke; Michael Day
Institutions
Date
Keywords
ischool; toronto; canada; data-intensive research; fourth paradigm; capability modeling; research data; managing research data
Publication Type
paper
License
CC BY-NC-SA 3.0 AT
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