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<ref>DMBOK, 1.3.4 Data Stewardship, pgs. 75,76</ref>''Data Stewardship'' is the most common label to describe accountability and responsibility for data and processes that ensure effective control and use of data assets. Stewardship can be formalized through job titles and descriptions, or it can be a less formal function driven by people trying to help and organization get value from its data.  
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<ref>DAMA-DMBOK2, 1.3.4 Data Stewardship, pgs. 75,76</ref>''Data Stewardship'' is the most common label to describe accountability and responsibility for data and processes that ensure effective control and use of data assets. Stewardship can be formalized through job titles and descriptions, or it can be a less formal function driven by people trying to help and organization get value from its data.  
    
In most cases, data stewardship activities will focus on some, if not all, of the following:
 
In most cases, data stewardship activities will focus on some, if not all, of the following:
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* '''Managing data quality issues''': Stewards are often involved with the identification and resolution of data related issues or in facilitating the process of resolution.
 
* '''Managing data quality issues''': Stewards are often involved with the identification and resolution of data related issues or in facilitating the process of resolution.
 
* '''Executing operational data governance activities''': Stewards are responsible for ensuring that, day-to-day and project-by-project, data governance policies and initiatives are adhered to. They should influence decisions to ensure that data is managed in ways that support the overall goals of the organization.
 
* '''Executing operational data governance activities''': Stewards are responsible for ensuring that, day-to-day and project-by-project, data governance policies and initiatives are adhered to. They should influence decisions to ensure that data is managed in ways that support the overall goals of the organization.
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