A Capability Maturity Model for Research Data Management

Changes for document 2.4 Process Assessment

Last modified by Arden Kirkland on 2014/06/03 16:52
From version 6.3
edited by Arden Kirkland
on 2014/03/11 16:29
To version 7.1
edited by Arden Kirkland
on 2014/03/12 12:41
Change comment: changed structure to combine 2 concepts and eliminate intermediate headers

Content changes

... ... @@ -4,18 +4,15 @@
4 4 {{toc/}}
5 5 {{/box}}
6 6
7 -== (% style="font-size: 23px; line-height: 1.2em; color: rgb(72, 92, 90);" %)2.4.1 Measurement and analysis(%%) ==
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.//
8 8
9 -**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.
9 +== ==
10 10
11 -=== 2.4.1.1 Collect process improvement information ===
11 +== 2.4.1 Collect process improvement information ==
12 12
13 -== 2.4.2 Verifying implementation ==
14 14
15 -**Verifying Implementation** describes the steps to ensure that the activities are performed in compliance with the process that has been established. Verification typically encompasses reviews and audits by management and quality assurance.
14 +== 2.4.2 Assure data quality ==
16 16
17 -=== 2.4.2.1 Assure data quality ===
18 -
19 19 Data quality should be assessed as data are collected and the data quality process documented. Checking for data quality as the data are collected ensures that only valid data are recorded and that erroneous values are either recollected or at least eliminated from further analysis.
20 20
21 21 (% style="font-size: 14px;" %)At a minimum, data items must be consistent with the data type of the column.
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28 28
29 29 Codes should be recorded in the data file to represent the quality of data at the time quality is assessed. Problematic data should be flagged to indicate known issues. Any ancillary data used to assess data quality should be described and stored.
30 30
31 -=== 2.4.2.2 Check data integration from other sources ===
28 +== 2.4.3 Check data integration from other sources ==
32 32
33 33 If data from other sources are used, the quality of those other sources should be reviewed. In addition, the license or permissions for those data should be reviewed to ensure that the use is allowed. Finally, the source of the data should be recorded to ensure that the data can be cited as appropriate.
34 34

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