A Capability Maturity Model for Research Data Management

Changes for document 3.2 Ability to Perform

Last modified by Arden Kirkland on 2014/06/06 12:56
From version 31.1
edited by Arden Kirkland
on 2014/05/14 21:39
To version 32.1
edited by Arden Kirkland
on 2014/05/18 12:16
Change comment: added rubric

Content changes

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54 54
55 55 The provision of metadata services requires understanding of existing research community metadata practices, in addition to metadata structures associated with libraries ([[Ray, 2014>>||anchor="Ray"]]). Purdue University’s data curation profiles, which are generated via interviews, are one such approach for librarians to increase their knowledge of existing practices. Another approach is to use small pilot studies early on in development of data curation services ([[Westra, 2014>>||anchor="Westra"]]).
56 56
57 +
58 +== Rubric ==
59 +
60 +
61 +|=|=Rubric for 3.2 - Ability to Perform
62 +|Level 0
63 + This process or practice is not being observed|No steps have been taken to provide organizational structures or plans, training, or resources such as staffing and tools for metadata development
64 +|Level 1: Initial
65 + Data are managed intuitively at project level without clear goals and practices|Structures or plans, training, and resources such as staffing and tools for metadata development have been considered minimally by individual team members, but not codified
66 +|Level 2: Managed
67 + DM process is characterized for projects and often reactive|Structures or plans, training, and resources such as staffing and tools for metadata development have been recorded for this project, but have not taken wider community needs or standards into account
68 +|Level 3: Defined
69 + DM is characterized for the organization/community and proactive|The project follows includes structures or plans, training, and resources such as staffing and tools for metadata development that have been defined for the entire community or institution
70 +|Level 4: Quantitatively Managed
71 + DM is measured and controlled|Quantitative quality goals have been established regarding structures or plans, training, and resources such as staffing and tools for metadata development, and practices in these areas are systematically measured for quality
72 +|Level 5: Optimizing
73 + Focus on process improvement|Processes regarding structures or plans, training, and resources such as staffing and tools for metadata development are evaluated on a regular basis, and necessary improvements are implemented
74 +
75 +
57 57 == References ==
58 58
59 59 {{id name="DataONE"/}}DataONE. (2011). Ensure flexible data services for virtual datasets. Retrieved from [[https:~~/~~/www.dataone.org/best-practices/ensure-flexible-data-services-virtual-datasets>>url:https://www.dataone.org/best-practices/ensure-flexible-data-services-virtual-datasets||rel="__blank"]]

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