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 12.2
edited by Jian Qin
on 2014/05/27 23:53
To version 13.1
edited by Jian Qin
on 2014/05/27 23:54
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Content changes

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8 8
9 9 == 2.4.1 Measurement and Analysis ==
10 10
11 -Measurement and analysis of data acquisition and processing provides specific practices and procedures that guide this process area. It should keep in mind that the goal of measurement and analysis is to provide "general guidance about measuring, analyzing, and recording information that can be used in establishing measures for monitoring actual performance of the process" ([[CMMI Product Team, 2006>>||anchor="CMMI"]]). Projects should develop and implement metrics for the data acquisition, processing and quality assurance processes. Example metrics include the quantity of data being collected or the observed error rate at different points in the process. A small sample of data might be intensively quality checked to provide an estimate of the level of undetected errors in the data collected.
11 +Measurement and analysis of data acquisition and processing provides specific practices and procedures that guide this process area. It should keep in mind that the goal of measurement and analysis is to provide "general guidance about measuring, analyzing, and recording information that can be used in establishing measures for monitoring actual performance of the process" ([[CMMI Product Team, 2006>>||anchor="CMMI"]]). Projects should develop and implement metrics for the data acquisition, processing and quality assurance processes. Example metrics include the quantity of data being collected or the observed error rate at different points in the process. A small sample of data might be intensively quality checked to provide an estimate of the level of undetected errors in the data collected.
12 12
13 13 == 2.4.2 Assure data quality ==
14 14
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52 52 CMMI Product Team. (2006). //CMMI for Development, Version 1.2// (No. CMU/SEI-2006-TR-008). Pittsburgh, PA, USA: Carnegie Mellon Software Engineering Institute. Retrieved from [[http:~~/~~/repository.cmu.edu/sei/387>>url:http://repository.cmu.edu/sei/387]]
53 53
54 54 {{id name="Columbia"/}}
55 -Columbia Center for New Media Teaching and Learning. (n.d.). Responsible conduct of research: Data acquisition and management: Foundation text. Retrieved from [[(%%)http:~~/~~/ccnmtl.columbia.edu/projects/rcr/rcr_data/foundation/index.html#3_B>>url:http://ccnmtl.columbia.edu/projects/rcr/rcr_data/foundation/index.html#3_B||rel="__blank" style="font-family: sans-serif; font-size: 13.63636302947998px; font-style: normal; text-align: start; line-height: 19.600000381469727px;"]]
55 +Columbia Center for New Media Teaching and Learning. (n.d.). Responsible conduct of research: Data acquisition and management: Foundation text. Retrieved from [[http:~~/~~/ccnmtl.columbia.edu/projects/rcr/rcr_data/foundation/index.html#3_B>>url:http://ccnmtl.columbia.edu/projects/rcr/rcr_data/foundation/index.html#3_B||rel="__blank" style="font-family: sans-serif; font-size: 13.63636302947998px; font-style: normal; text-align: start; line-height: 19.600000381469727px;"]]
56 56
57 57 {{id name="DataONEa"/}}
58 58 DataONE. (2011a). Double-check the data you enter. Retrieved from [[https:~~/~~/www.dataone.org/best-practices/double-check-data-you-enter>>url:https://www.dataone.org/best-practices/double-check-data-you-enter||rel="__blank"]]

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