A Capability Maturity Model for Research Data Management
CMM for RDM » 1. Data Management in General » 1.1 Commitment to Perform

Changes for document 1.1 Commitment to Perform

Last modified by Arden Kirkland on 2014/05/18 11:53
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edited by Arden Kirkland
on 2014/01/12 21:37
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edited by Arden Kirkland
on 2014/01/12 21:38
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9 9 == 1.1.1 Identify stakeholders ==
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11 -The goal of identifying stakeholders is to establish a shared understanding of who are the data owners, contributors, managers, and users affected by data management. Stakeholders include not only those who create and manage data but also entities that are data users, funding agencies, home institutions of contributing researchers ([[DataOne, 2012>>||anchor="DataONE"]]).
11 +The goal of identifying stakeholders is to establish a shared understanding of who are the data owners, contributors, managers, and users affected by data management. Stakeholders include not only those who create and manage data but also entities that are data users, funding agencies, home institutions of contributing researchers ([[DataOne, 2011>>||anchor="DataONE"]]).
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13 13 Explicit identification of stakeholders is important because scientific data management processes are increasingly complex and so involve entities with different roles, specializing in different aspects of data management. For example, data managers are responsible for data storage, management, backup, and access. Research team members need to document data collection and processing methods and parameter, validate and verify data quality, and maintain information on workflows and data flows for provenance and quality control purpose. Technology staff needs to assure that the infrastructure services are in good order to support the data management activities. However, organizations may not have all of these stakeholders and responsibilities can be differently distributed.
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