A Capability Maturity Model for Research Data Management
CMM for RDM » 0. Introduction » 0.3 Research Data Management Maturity Levels
Last modified by Arden Kirkland on 2014/06/30 09:36
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46 46 Assessing researchers' data management practices within a university is the focus of DMVitals (Sallans & Lake, 2014), a promising prototype tool in development at the University of Virginia Library. DMVitals maps researcher data management practices to local and community best practices and standards, assessing compliance on a 1-5 scale of the CMM maturity levels.
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49 -(% style="font-size: 14.44444465637207px;" %)A departure Sallans and Lake (2014) make from the CMM's process improvement emphasis is that they conceptualize maturity more in terms of (% style="font-size: 14.44444465637207px; line-height: normal;" %)qu(% style="font-size: 14.44444465637207px;" %)ality of RDM practices, as opposed to the nature of the processes that give rise to those practices. DMVitals maturity scores are assessments of the quality of data management from a long-term preservation perspective, which they refer to as sustainability. The degree to which practices are supported by specific types of organizational processes is not assessed. A benefit of focusing on quality of data management practices as DMVitals does is this provides a framework for identifying service needs and prioritizing recommendations to researchers for improving data management practices in the here and now. The approach DMVitals takes to bringing about change in researcher practices is in keeping with the CMM in that it pursues improvement via small, evolutionary steps rather than large, sweeping changes.
49 +(% style="font-size: 14.44444465637207px;" %)A departure Sallans and Lake (2014) make from the CMM's process improvement emphasis is that they conceptualize maturity more in terms of (% style="font-size: 14.44444465637207px; line-height: normal;" %)qu(% style="font-size: 14.44444465637207px;" %)ality of RDM practices, as opposed to the nature of the processes that give rise to those practices. DMVitals maturity scores are based on assessments of sustainability, which is the quality of data management from a long-term preservation perspective. The degree to which practices are supported by specific types of organizational processes is not assessed. A benefit of focusing on quality of data management practices as DMVitals does is this provides a framework for identifying service needs and prioritizing recommendations to researchers for improving data management practices in the here and now. The approach DMVitals takes to bringing about change in researcher practices is in keeping with the CMM in that it pursues improvement via small, evolutionary steps rather than large, sweeping changes.
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