A data steward is an oversight or data governance role within an organization, and is responsible for ensuring the quality and fitness for purpose of the organization's data assets, including the metadata for those data assets. A data steward may share some responsibilities with a data custodian, such as the awareness, accessibility, release, appropriate use, security and management of data.[1] A data steward would also participate in the development and implementation of data assets. A data steward may seek to improve the quality and fitness for purpose of other data assets their organization depends upon but is not responsible for.
Data stewards have a specialist role that utilizes an organization's data governance processes, policies, guidelines and responsibilities for administering an organizations' entire data in compliance with policy and/or regulatory obligations. The overall objective of a data steward is the data quality of the data assets, datasets, data records and data elements.[1][2] This includes documenting metainformation for the data, such as definitions, related rules/governance, physical manifestation, and related data models (most of these properties being specific to an attribute/concept relationship), identifying owners/custodian's various responsibilities, relations insight[definition needed] pertaining to attribute quality, aiding with project requirement data facilitation and documentation of capture rules.
Data stewards begin the stewarding process with the identification of the data assets and elements which they will steward, with the ultimate result being standards, controls and data entry.[citation needed] The steward works closely with business glossary standards analysts (for standards), with data architect/modelers (for standards), with DQ analysts (for controls) and with operations team members (good-quality data going in per business rules) while entering data.
Data stewardship roles are common when organizations attempt to exchange data precisely and consistently between computer systems and to reuse data-related resources.[citation needed]Master data management often[quantify] makes references to the need for data stewardship for its implementation to succeed. Data stewardship must have precise purpose, fit for purpose or fitness.
Does not conflict with other data elements in the metadata registry (removes duplicates, overlap etc.)
Has clear enumerated value definitions if it is of type Code
Is still being used (remove unused data elements)
Is being used consistently in various computer systems
Is being used, fit for purpose = Data Fitness
Has adequate documentation on appropriate usage and notes
Documents the origin and sources of authority on each metadata element
Is protected against unauthorised access or change
Responsibilities of data stewards vary between different organisations and institutions. For example, at Delft University of Technology, data stewards are perceived as the first contact point for any questions related to research data. They also have subject-specific background allowing them to easily connect with researchers and to contextualise data management problems to take into account disciplinary practices.[3]
Types of data stewardsEdit
Depending on the set of data stewardship responsibilities assigned to an individual, there are 4 types (or dimensions of responsibility) of data stewards typically found within an organization:
Data object data steward - responsible for managing reference data and attributes of one business data entity
Business data steward - responsible for managing critical data, both reference and transactional, created or used by one business function. The data steward may also serve as a liaison between the organization's data users and technical teams, helping to bridge the gap between business needs and technical requirements. They may also play a role in educating others within the organization about best practices for data management, and advocating for data-driven decision-making.
Process data steward - responsible for managing data across one business process
System data steward - responsible for managing data for at least one IT system[4]
Benefits of data stewardshipEdit
Systematic data stewardship can foster:
Faster analysis
Consistent use of data management resources
Easy mapping of data between computer systems and exchange documents
Better control of dangers associated with privacy, legal, errors, etc.
Assignment of each data element to a person sometimes seems like an unimportant process. But many groups[which?] have found that users have greater trust and usage rates in systems where they can contact a person with questions on each data element.
ExamplesEdit
This section needs expansion. You can help by adding to it. (July 2010)
Delft University of Technology (TU Delft) offers an example of data stewardship implementation at a research institution. In 2017 the Data Stewardship Project was initiated at TU Delft to address research data management needs in a disciplinary manner across the whole campus.[5] Dedicated data stewards with subject-specific background were appointed at every TU Delft faculty to support researchers with data management questions and to act as a linking point with the other institutional support services. The project is coordinated centrally by TU Delft Library, and it has its own website,[6] blog[7] and a YouTube channel.[8]
The EPA metadata registry furnishes an example of data stewardship. Note that each data element therein has a "POC" (point of contact).
Data stewardship applicationsEdit
A new market for data governance applications is emerging, one in which both technical and business staff — stewards — manage policies. These new applications, like previous generations, deliver a strong business glossary capability, but they do not stop there. Vendors are introducing additional features addressing the roles of business in addition to technical stewards' concerns.[9]
Information stewardship applications are business solutions used by business users acting in the role of information steward (interpreting and enforcing information governance policy, for example). These developing solutions represent, for the most part, an amalgam of a number of disparate, previously IT-centric tools already on the market, but are organized and presented in such a way that information stewards (a business role) can support the work of information policy enforcement as part of their normal, business-centric, day-to-day work in a range of use cases.
The initial push for the formation of this new category of packaged software came from operational use cases — that is, use of business data in and between transactional and operational business applications. This is where most of the master data management efforts are undertaken in organizations. However, there is also now a faster-growing interest in the new data lake arena for more analytical use cases.[10]
Some of the vendors in Metadata Management, like Alation, have started highlighting the importance of Data Stewards to employees interested in using data to make business decisions.[11]
^De Simoni, Guido (15 April 2016). "Market Guide for Information Stewardship Applications". Gartner.
^"Magic Quadrant for Metadata Management Solutions". Gartner. 9 August 2018.
Further readingEdit
"Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance" by David Plotkin, Morgan Kaufmann, 2013 ISBN0124103898
"Information governance : concepts, strategies and best practices" by Robert F. Smallwood, Wiley, 2019
Universal Meta Data Models, by David Marco and Michael Jennings, Wiley, 2004, page 93-94 ISBN0-471-08177-9
Metadata Solution by Adrinne Tannenbaum, Addison Wesley, 2002, page 412
Building and Managing the Meta Data Repository, by David Marco, Wiley, 2000, pages 61–62
The Data Warehouse Lifecycle Toolkit, by Ralph Kimball et. el., Wiley, 1998, also briefly mentions the role of data steward in the context of data warehouse project management on page 70.
Developing Geospatial Intelligence Stewardship for Multinational Operations, by Jeff Thomas, US Army Command General Staff College, 2010, www.dtic.mil/dtic/tr/fulltext/u2/a524227.pdf.
September 02, 2023
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A data steward is an oversight or data governance role within an organization and is responsible for ensuring the quality and fitness for purpose of the organization s data assets including the metadata for those data assets A data steward may share some responsibilities with a data custodian such as the awareness accessibility release appropriate use security and management of data 1 A data steward would also participate in the development and implementation of data assets A data steward may seek to improve the quality and fitness for purpose of other data assets their organization depends upon but is not responsible for Data stewards have a specialist role that utilizes an organization s data governance processes policies guidelines and responsibilities for administering an organizations entire data in compliance with policy and or regulatory obligations The overall objective of a data steward is the data quality of the data assets datasets data records and data elements 1 2 This includes documenting metainformation for the data such as definitions related rules governance physical manifestation and related data models most of these properties being specific to an attribute concept relationship identifying owners custodian s various responsibilities relations insight definition needed pertaining to attribute quality aiding with project requirement data facilitation and documentation of capture rules Data stewards begin the stewarding process with the identification of the data assets and elements which they will steward with the ultimate result being standards controls and data entry citation needed The steward works closely with business glossary standards analysts for standards with data architect modelers for standards with DQ analysts for controls and with operations team members good quality data going in per business rules while entering data Data stewardship roles are common when organizations attempt to exchange data precisely and consistently between computer systems and to reuse data related resources citation needed Master data management often quantify makes references to the need for data stewardship for its implementation to succeed Data stewardship must have precise purpose fit for purpose or fitness Contents 1 Data steward responsibilities 2 Types of data stewards 3 Benefits of data stewardship 4 Examples 5 Data stewardship applications 6 See also 7 References 8 Further readingData steward responsibilities EditA data steward ensures that each assigned data element Has clear and unambiguous data element definition Does not conflict with other data elements in the metadata registry removes duplicates overlap etc Has clear enumerated value definitions if it is of type Code Is still being used remove unused data elements Is being used consistently in various computer systems Is being used fit for purpose Data Fitness Has adequate documentation on appropriate usage and notes Documents the origin and sources of authority on each metadata element Is protected against unauthorised access or changeResponsibilities of data stewards vary between different organisations and institutions For example at Delft University of Technology data stewards are perceived as the first contact point for any questions related to research data They also have subject specific background allowing them to easily connect with researchers and to contextualise data management problems to take into account disciplinary practices 3 Types of data stewards EditDepending on the set of data stewardship responsibilities assigned to an individual there are 4 types or dimensions of responsibility of data stewards typically found within an organization Data object data steward responsible for managing reference data and attributes of one business data entity Business data steward responsible for managing critical data both reference and transactional created or used by one business function The data steward may also serve as a liaison between the organization s data users and technical teams helping to bridge the gap between business needs and technical requirements They may also play a role in educating others within the organization about best practices for data management and advocating for data driven decision making Process data steward responsible for managing data across one business process System data steward responsible for managing data for at least one IT system 4 Benefits of data stewardship EditSystematic data stewardship can foster Faster analysis Consistent use of data management resources Easy mapping of data between computer systems and exchange documents Lower costs associated with migration to for example Service Oriented Architecture SOA Mitigation of data risk Better control of dangers associated with privacy legal errors etc Assignment of each data element to a person sometimes seems like an unimportant process But many groups which have found that users have greater trust and usage rates in systems where they can contact a person with questions on each data element Examples EditThis section needs expansion You can help by adding to it July 2010 Delft University of Technology TU Delft offers an example of data stewardship implementation at a research institution In 2017 the Data Stewardship Project was initiated at TU Delft to address research data management needs in a disciplinary manner across the whole campus 5 Dedicated data stewards with subject specific background were appointed at every TU Delft faculty to support researchers with data management questions and to act as a linking point with the other institutional support services The project is coordinated centrally by TU Delft Library and it has its own website 6 blog 7 and a YouTube channel 8 The 1 EPA metadata registry furnishes an example of data stewardship Note that each data element therein has a POC point of contact Data stewardship applications EditA new market for data governance applications is emerging one in which both technical and business staff stewards manage policies These new applications like previous generations deliver a strong business glossary capability but they do not stop there Vendors are introducing additional features addressing the roles of business in addition to technical stewards concerns 9 Information stewardship applications are business solutions used by business users acting in the role of information steward interpreting and enforcing information governance policy for example These developing solutions represent for the most part an amalgam of a number of disparate previously IT centric tools already on the market but are organized and presented in such a way that information stewards a business role can support the work of information policy enforcement as part of their normal business centric day to day work in a range of use cases The initial push for the formation of this new category of packaged software came from operational use cases that is use of business data in and between transactional and operational business applications This is where most of the master data management efforts are undertaken in organizations However there is also now a faster growing interest in the new data lake arena for more analytical use cases 10 Some of the vendors in Metadata Management like Alation have started highlighting the importance of Data Stewards to employees interested in using data to make business decisions 11 See also EditMetadata Metadata registry Data curation Data element Data element definition Representation term ISO IEC 11179References Edit a b Cramer Jonathan James March 5 2019 6 Key Responsibility of the Invaluable Data Steward DNB Archived from the original on March 28 2019 Retrieved November 11 2022 What is Data Stewardship Its Importance Benefits Programs and more Simplilearn November 30 2021 Archived from the original on January 21 2022 Retrieved November 11 2022 NewMedia Centre 2018 05 16 1 Data Stewardship at the TU Delft V2 archived from the original on 2021 12 19 retrieved 2018 06 12 Understanding the different types of a data steward LightsOnData LightsOnData 2018 06 13 Retrieved 2018 06 20 Teperek Marta Cruz Maria J Verbakel Ellen Bohmer Jasmin K Dunning Alastair 2018 01 22 Data Stewardship addressing disciplinary data management needs Open Science Framework doi 10 17605 OSF IO MJK9T S2CID 59344239 Data Stewardship TU Delft Retrieved 2018 06 12 Data Stewardship Open Working 2018 02 13 Retrieved 2018 06 12 Data Stewardship TU Delft YouTube Retrieved 2018 06 12 The Forrester Wave Data Governance Stewardship Applications Q1 2016 www forrester com Retrieved 2016 12 20 De Simoni Guido 15 April 2016 Market Guide for Information Stewardship Applications Gartner Magic Quadrant for Metadata Management Solutions Gartner 9 August 2018 Further reading Edit Data Stewardship An Actionable Guide to Effective Data Management and Data Governance by David Plotkin Morgan Kaufmann 2013 ISBN 0124103898 Information governance concepts strategies and best practices by Robert F Smallwood Wiley 2019 Universal Meta Data Models by David Marco and Michael Jennings Wiley 2004 page 93 94 ISBN 0 471 08177 9 Metadata Solution by Adrinne Tannenbaum Addison Wesley 2002 page 412 Building and Managing the Meta Data Repository by David Marco Wiley 2000 pages 61 62 The Data Warehouse Lifecycle Toolkit by Ralph Kimball et el Wiley 1998 also briefly mentions the role of data steward in the context of data warehouse project management on page 70 Developing Geospatial Intelligence Stewardship for Multinational Operations by Jeff Thomas US Army Command General Staff College 2010 www dtic mil dtic tr fulltext u2 a524227 pdf Retrieved from https en wikipedia org w index php title Data steward amp oldid 1156982993, wikipedia, wiki, book, books, library,
