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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39 39 Level 5, Optimizing, means that the organization is focused on improving the processes: weaknesses are identified and defects are addressed proactively. Processes introduced at these levels of maturity address generic techniques for process improvement.
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43 -As noted earlier, we found limited evidence of quantitative measurement of processes in our analysis, which we suggest reflects the current state of maturity of RDM.
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45 45 While CMM has been around for two decades and applied in various contexts for improving processes and performance, it just began to draw attention from the research data management community. RDM is still a relatively new domain and much of the research has been devoted to the specific fields and practices such as metadata and data repositories. Examples of using CMM for data management processes and other goals began to emerge in the last couple of years ([[see note 1>>doc:Note 1]]), with slightly different focus and interpretations. This document takes a holistic view of RDM and uses the CMM lens to examine RDM processes in the hope that we can identify the weaknesses of RDM and find ways to improve RDM processes.
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47 47 == References ==

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