Data Management: Data Steward (Definitions)

"A person with responsibility to improve the accuracy, reliability, and security of an organization’s data; also works with various groups to clearly define and standardize data." (Margaret Y Chu, "Blissful Data ", 2004)

"Critical players in data governance councils. Comfortable with technology and business problems, data stewards seek to speak up for their business units when an organization-wide decision will not work for that business unit. Yet they are not turf protectors, instead seeking solutions that will work across an organization. Data stewards are responsible for communication between the business users and the IT community." (Tony Fisher, "The Data Asset", 2009)

"A business leader and/or subject matter expert designated as accountable for: a) the identification of operational and Business Intelligence data requirements within an assigned subject area, b) the quality of data names, business definitions, data integrity rules, and domain values within an assigned subject area, c) compliance with regulatory requirements and conformance to internal data policies and data standards, d) application of appropriate security controls, e) analyzing and improving data quality, and f) identifying and resolving data related issues. Data stewards are often categorized as executive data stewards, business data stewards, or coordinating data stewards." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

[business data steward:] "A knowledge worker, business leader, and recognized subject matter expert assigned accountability for the data specifications and data quality of specifically assigned business entities, subject areas or databases, but with less responsibility for data governance than a coordinating data steward or an executive data steward." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"The person responsible for maintaining a data element in a metadata registry." (Microsoft, "SQL Server 2012 Glossary, 2012)

"The term stewardship is “the management or care of another person’s property” (NOAD). Data stewards are individuals who are responsible for the care and management of data. This function is carried out in different ways based on the needs of particular organizations." (Laura Sebastian-Coleman, "Measuring Data Quality for Ongoing Improvement ", 2012)

"The person responsible for maintaining a data element in a metadata registry." (Microsoft, SQL Server 2012 Glossary, 2012)

"An individual comfortable with both technology and business problems. Stewards are responsible for communicating between the business users and the IT community." (Jim Davis & Aiman Zeid, "Business Transformation: A Roadmap for Maximizing Organizational Insights", 2014)

"A role in the data governance organization that is responsible for the development of a uniform data model for business objects used across boundaries. The data steward is also often responsible for the development of master data management and ensures compliance with the governance rules." (Boris Otto & Hubert Österle, "Corporate Data Quality", 2015)

"A natural person assigned the responsibility to catalog, define, and monitor changes to critical data. Example: The data steward for finance critical data is Dan." (Gregory Lampshire, "The Data and Analytics Playbook", 2016)

"A person responsible for managing data content, quality, standards, and controls within an organization or function." (Jonathan Ferrar et al, "The Power of People", 2017)

"A data steward is a job role that involves planning, implementing and managing the sourcing, use and maintenance of data assets in an organization. Data stewards enable an organization to take control and govern all the types and forms of data and their associated libraries or repositories." (Richard T Herschel, "Business Intelligence", 2019)

Data Management: Data Stewardship (Definitions)

"Data stewardship is the function that is largely responsible for managing data as an enterprise asset. The data steward is responsible for ensuring that the data provided by the Corporate Information Factory is based on an enterprise view. An individual, a committee, or both may perform data stewardship." (Claudia Imhoff et al, "Mastering Data Warehouse Design", 2003)

"Necessary for resolving conflicts in peer-to-peer replication, data stewardship involves assigning an owner to data that resides on multiple servers and creating rules for how the data should be updated." (Sara Morganand & Tobias Thernstrom , "MCITP Self-Paced Training Kit : Designing and Optimizing Data Access by Using Microsoft SQL Server 2005 - Exam 70-442", 2007)

"An approach to data governance that formalizes accountability for managing information resources on behalf of others and in the best interests of the organization." (Danette McGilvray, "Executing Data Quality Projects", 2008)

"Deals with the ownership and accountability of data, and how people manage the data to the benefit of the organization. Data stewardship functions at two levels - Business Data Stewards deal with the higher-level metadata and governance concerns, while Operational Data Stewards focus primarily on the instances of master data in the enterprise." (Allen Dreibelbis et al, "Enterprise Master Data Management", 2008)

"This is known as a role assigned to a person that is responsible for defining and executing data governance policies." (Martin Oberhofer et al, "The Art of Enterprise Information Architecture", 2010)

"1.The formal, specifically assigned, and entrusted accountability for business (non-technical) responsibilities ensuring effective control and use of data and information resources. 2.The formal accountability for business responsibilities ensuring effective control and use of data assets. (DAMA International, "The DAMA Dictionary of Data Management" 1st Ed., 2011)

"Responsibility and accountability for the actions taken upon a defined set of data, including the definition of the consumers of the data. A data steward is not necessarily the data owner." (Craig S Mullins, "Database Administration: The Complete Guide to DBA Practices and Procedures" 2nd Ed., 2012)