A Capability Maturity Model for Research Data Management

Changes for document 3.4 Process Assessment

Last modified by Arden Kirkland on 2014/06/06 13:00
From version 12.1
edited by charflynn
on 2014/03/12 12:21
To version 13.1
edited by Arden Kirkland
on 2014/03/12 12:48
Change comment: changed structure to combine 2 concepts and eliminate intermediate headers

Metadata changes

Document author
XWiki.chaArfdenKirklyannd

Content changes

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1 -== 3.4 Process Assessment ==
1 += 3.4 Process Assessment =
2 2
3 3 {{box cssClass="floatinginfobox" title="**Contents**"}}
4 4 {{toc/}}
5 5 {{/box}}
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7 -**//Measurement and Analysis//**// describes the need to measure the process and analyze the measurements. Measurement and Analysis typically includes examples of the measurements that could be taken to determine the status and effectiveness of the Activities Performed.//
7 +//**Process Assessment **includes Measurement and Analysis and Verifying Implementation. Measurement and Analysis describes the need to measure the process and analyze the measurements, and typically includes examples of the measurements that could be taken to determine the status and effectiveness of the Activities Performed. Verifying Implementation describes the steps to ensure that the activities are performed in compliance with the process that has been established, and typically encompasses reviews and audits by management and quality assurance.//
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11 +== 3.4.1 Measuring and Verifying Implementation ==
11 11
12 -=== 3.4.1 Measuring and Verifying Implementation ===
13 -
14 -//Verifying and measuring implementation describes the steps to ensure that the activities are performed in compliance with the process that has been established. Verification typically encompasses internal reviews and audits. //
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17 17 A few organizations have developed frameworks for assessing the maturity of metadata practices (and data management in general). An The DMVitals project at the University of Virginia is optimized for assessing project practices. The Australian National Data Service (ANDS)'s rubric for assessing capability maturity takes the approach of assessing the practices of large, multi-project organizations. The ANDS rubric for assessing maturity is explained here:__ [[http:~~/~~/ands.org.au/guides/dmframework/dmf-capability-maturity-guide.html>>url:http://ands.org.au/guides/dmframework/dmf-capability-maturity-guide.html||style="font-size: 14.44444465637207px;"]]__ and available as chart 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||style="font-size: 14.44444465637207px;"]]
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27 27 | Managed|Uses a research community metadata standard.|Metadata quality metrics collected. All datasets described and metadata shared
28 28 | Optimizing|Is performing data validation and quality assurance.|Metadata provides the basis for rapid discovery of data in all disciplines, both within the institution and beyond. Continuous improvement is applied to processes & capabilities.
29 29
30 -(% style="font-size: 20px; line-height: 1.2em; color: rgb(72, 92, 90);" %)
31 -3.4.1 Measuring and Verifying Implementation
26 +== 3.4.2 Ensure compliance to standards ==
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33 -//Verifying Implementation describes the steps to ensure that the activities are performed in compliance with the process that has been established. Verification typically encompasses internal reviews and audits. //
34 -
35 -==== 3.4.2.1 Ensure compliance to standards ====
36 -
37 37 Long (2009) recommends designating a member of the project team as a "sheriff" who checks compliance with agreed upon documentation standards.
38 38
39 -==== 3.4.2.2 Ensure interoperability with data and metadata standards ====
30 +== 3.4.3 Ensure interoperability with data and metadata standards ==
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41 41 Enforcing use of standard terminology in your workflow facilitates interoperability with other data and metadata.
42 42

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