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UNLV Data Governance

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UNLV Data Governance Executive Sponsors Meeting Office of Institutional Analysis and Planning August 29, 2006 Overview of Presentation Context and Benefits Structure ... – PowerPoint PPT presentation

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Title: UNLV Data Governance


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 UNLVs 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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