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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61 61 (% style="font-size: 14.44444465637207px;" %)This is not to say that the outputs of organizations with processes at low levels of maturity are necessarily of low quality, only that the quality of their future outputs is not predictable. Unstructured, ad hoc processes become less workable when producing a product on a large scale. Process improvement models offer a route to managing the increasingly large scale demands of emerging research data contexts.
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64 -(% style="font-size: 20px; line-height: 1.2em; color: rgb(72, 92, 90);" %)ANDS Capability Maturity Guide
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66 66 The Australian National Data Service (ANDS) uses the CMM model in their Research Data Management Framework Capability Maturity Guide: [[http:~~/~~/ands.org.au/guides/dmframework/dmf-capability-maturity-guide.html>>url:http://ands.org.au/guides/dmframework/dmf-capability-maturity-guide.html]] There is a chart depicting the ANDS application of CMM to RDM here: [[http:~~/~~/ands.org.au/assets/images/guides/dmf-capability-maturity-guide.png>>url:http://ands.org.au/assets/images/guides/dmf-capability-maturity-guide.png]]
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