Developing a Community Capability Model Framework for data-intensive research

Liz Lyon; Alex Ball; Monica Duke; Michael Day

Developing a Community Capability Model Framework for data-intensive research

Liz Lyon, Alex Ball, Monica Duke, Michael Day

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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.

Original language	English
Title of host publication	iPres 2012
Subtitle of host publication	Proceedings of the 9th International Conference on Preservation of Digital Objects
Editors	Reagan Moore, Kevin Ashley, Seamus Ross
Place of Publication	Toronto
Publisher	University of Toronto, Faculty of Information
Pages	9-16
Number of pages	8
ISBN (Electronic)	9780991799701
Publication status	Published - 2012
Event	9th International Conference on Preservation of Digital Objects (iPres 2012) - Toronto, Canada Duration: 1 Oct 2012 → 5 Oct 2012

Conference

Conference	9th International Conference on Preservation of Digital Objects (iPres 2012)
Country/Territory	Canada
City	Toronto
Period	1/10/12 → 5/10/12

Keywords

research data management
Data-Intensive Research
digital curation
data centres

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

https://ipres-conference.org/ipres12/sites/ipres.ischool.utoronto.ca/files/iPres%202012%20Conference%20Proceedings%20Final.pdf#page=19

Cite this

Lyon, L., Ball, A., Duke, M., & Day, M. (2012). Developing a Community Capability Model Framework for data-intensive research. In R. Moore, K. Ashley, & S. Ross (Eds.), iPres 2012: Proceedings of the 9th International Conference on Preservation of Digital Objects (pp. 9-16). University of Toronto, Faculty of Information. https://ipres-conference.org/ipres12/sites/ipres.ischool.utoronto.ca/files/iPres%202012%20Conference%20Proceedings%20Final.pdf#page=19

Developing a Community Capability Model Framework for data-intensive research. / Lyon, Liz; Ball, Alex; Duke, Monica et al.
iPres 2012: Proceedings of the 9th International Conference on Preservation of Digital Objects. ed. / Reagan Moore; Kevin Ashley; Seamus Ross. Toronto: University of Toronto, Faculty of Information, 2012. p. 9-16.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Lyon, L, Ball, A, Duke, M & Day, M 2012, Developing a Community Capability Model Framework for data-intensive research. in R Moore, K Ashley & S Ross (eds), iPres 2012: Proceedings of the 9th International Conference on Preservation of Digital Objects. University of Toronto, Faculty of Information, Toronto, pp. 9-16, 9th International Conference on Preservation of Digital Objects (iPres 2012), Toronto, Canada, 1/10/12. <https://ipres-conference.org/ipres12/sites/ipres.ischool.utoronto.ca/files/iPres%202012%20Conference%20Proceedings%20Final.pdf#page=19>

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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.",

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AB - 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.

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KW - digital curation

KW - data centres

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A2 - Ross, Seamus

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T2 - 9th International Conference on Preservation of Digital Objects (iPres 2012)

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ER -

Developing a Community Capability Model Framework for data-intensive research

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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