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 18.1
edited by charflynn
on 2014/03/12 08:15
To version 19.1
edited by charflynn
on 2014/03/12 08:17
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13 13 The goal of creating a metadata schema is for future users to be able to find, identify, select, obtain, and appropriately understand and use information from a dataset.
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15 15 Schemas provide a list of data collection fields that facilitate discovery and provide rules for how those fields will be populated that specify acceptable syntax and semantics.
16 -\\Use of an informal, "homegrown" metadata practices are preferable to using no metadata schema. However, use a previously created schema that complies with an authoritative community standard when possible. Schemas tend to be general. Once a schema has been adopted is often desirable to develop a local application profile to meet local user needs.
16 +\\Use of an informal, "homegrown" metadata practices are preferable to using no metadata schema. Use a previously created schema that complies with an authoritative community standard when possible. Schemas tend to be general. Once a schema has been adopted is often desirable to develop a local application profile to meet local user needs.
17 17
18 18 In addition to easing retrieval, the use of standards makes documentation more consistent in general. The use of a schema will greatly improve the interoperability of the information collected.
19 19
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66 66 Riley, Jenn. (2014). Metadata services. In J. Ray (Ed.), //Research Data Management: Practical Strategies for Information Professionals (Charleston Insights in Library, Information, and Archival Sciences).// Purdue University Press.
67 67
68 68 Westra, Brian (2014). In J. Ray (Ed.), //Research Data Management: Practical Strategies for Information Professionals (Charleston Insights in Library, Information, and Archival Sciences).// Purdue University Press.
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