A capability maturity model for scientific data management: Evidence from the literature
Identifieur interne : 000842 ( Main/Exploration ); précédent : 000841; suivant : 000843A capability maturity model for scientific data management: Evidence from the literature
Auteurs : Kevin Crowston [États-Unis] ; Jian Qin [États-Unis]Source :
- Proceedings of the American Society for Information Science and Technology [ 0044-7870 ] ; 2011.
Abstract
In this paper, we propose a capability maturity model (CMM) for scientific data management (SDM) practices, with the goal of supporting assessment and improvement of these practices. The model describes key process areas and practices necessary for effective SDM. Appropriate SDM practices were identified by content analysis of papers about SDM and include both those specific SDM practices and generic process management practices. The CMM further characterizes organizations by the level of maturity of these processes, meaning the organizational capability to reliably perform SDM processes. The model may be useful to organizations in evaluating and planning improvements to their SDM practices.
Url:
DOI: 10.1002/meet.2011.14504801036
Affiliations:
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<front><div type="abstract" xml:lang="en">In this paper, we propose a capability maturity model (CMM) for scientific data management (SDM) practices, with the goal of supporting assessment and improvement of these practices. The model describes key process areas and practices necessary for effective SDM. Appropriate SDM practices were identified by content analysis of papers about SDM and include both those specific SDM practices and generic process management practices. The CMM further characterizes organizations by the level of maturity of these processes, meaning the organizational capability to reliably perform SDM processes. The model may be useful to organizations in evaluating and planning improvements to their SDM practices.</div>
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