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UNLV Data Governance

UNLV Data Governance . Executive Sponsors Meeting Office of Institutional Analysis and Planning August 29, 2006. Overview of Presentation. Context and Benefits Structure Executive Sponsors Data Governance Council Roles of Data Stewards Roles of Executive Sponsors

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UNLV Data Governance

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  1. UNLV Data Governance Executive Sponsors Meeting Office of Institutional Analysis and Planning August 29, 2006

  2. Overview of Presentation • Context and Benefits • Structure • Executive Sponsors • Data Governance Council • Roles of Data Stewards • Roles of Executive Sponsors • Draft of data policies, roles and progress indicators

  3. What is Data Governance? • Making strategic and effective decisions regarding UNLV’s information assets. • Includes: • Defining roles and responsibilities for data • Establishing data quality policies • Creating metadata management practices • Arbitrating shared data questions

  4. Data Governance Context at UNLV • Response to recommendation of NASC Commission on Colleges, June 2000 Accreditation Report • Established as priority of Cabinet to improve data assets and prepare UNLV for data conversion projects • Included in NSHE RFP for Project iNtegrate

  5. Data Governance Benefits • Advances goal of making UNLV data accurate, timely, relevant, and high quality • Reduces duplication and associated costs including potential errors • Increases confidence in data

  6. Groups Comprising Data Governance

  7. Data Governance Council • Composed of Data Stewards, appointed by Executive Sponsors • Responsible for maintaining data quality/integrity • Responsible for maintaining the data dictionary/repository • Creates appropriate training materials for both data administrators and users • Prepares performance indicator progress reports for Executive Sponsors

  8. Data Governance Council • Data Stewards will: • Establish one point of accountability for each data element • Establish common vocabulary to help users know they have the right data • Maintain University-wide, and NSHE-wide, values for common reference data

  9. Data Stewards--Types • Subject (Business): responsible for data values • Technology: matched with department • Communities of Interest : shared elements

  10. Subject Data Stewards • Most critical role in data governance • Define procedures, data meanings, and implement policies for data in their area • Requires a strong knowledge of their business area • One person could represent multiple areas • Need an alternate, or understudy, for each

  11. Technical Data Stewards • Day to day responsibility for the maintenance and operation of data base/system environment • Requires expertise to assist in locating and implementing data tools (e.g., metadata management products)

  12. Community of Interest Data Steward • Responsible for data that spans organizational boundaries • Collaborates with other units to arrive at consistency of definitions and values • Disputes are resolved by Executive Sponsors

  13. Executive Sponsors • Executive Sponsors lay the foundation • Establish Data Governance Council • Provide policy and direction to Council • Determine indicators of progress • Establish timeline • Provide oversight and support on ongoing basis

  14. Executive Sponsors • Provide policy and direction to Council • Propose Data Policies • Access, Usage, Integrity and Integration • Determine indicators of progress • Tied to policies • Establish timeframe • Approve communication plan

  15. Data Access Policy • Provide appropriate access to administrative data for employees without unnecessary restrictions • Progress Indicators • Formal establishment of UNLV Security Policy • Establish common guidelines for requesting access to information • Establish mechanism for resolving differences

  16. Data Usage Policy • Ensure that the data assets of the University are protected • Progress Indicators • Identification of UNLV, NSHE, Nevada and federal policies and/or legislation that impacts data elements • Assignment of security levels to common data elements • Develop audit process to monitor usage • Formalize consequences of non-compliance

  17. Data Integrity and Integration Policy • Ensure that UNLV data has a high degree of accuracy and integrity, and that key data elements can be integrated across departments and electronic systems. • Progress Indicators • Ability to Integrate – • Sample or audit data elements in preparation for iNtegrate conversion • Report on results • Create metadata repository/data dictionary • Specification completed • Tool acquired • Data Stewards begin entering metadata

  18. Communication Plan • Campus • Within Governance Program

  19. Immediate Tasks • Review and respond to roles • Review and respond to policies • Make recommendations for key elements of communication plan

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