Metadata Repositories in Health Care - Master Data Management Approach to Metadata Repositories

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Metadata Repositories in Health Care - Master Data Management Approach to Metadata Repositories - Presentation Transcript

  1. Metadata Repositories in Health Care Master Data Management Approach to Metadata Repositories Karolyn Kerr
  2. Outline of Presentation
    • What is Metadata?
    • What is Master Data?
    • Master Data Management
    • Using Master Data approach to Metadata Repository Management
    • Process for the Development of a Metadata Repository
    • Requirements of the Metadata Repository
  3. What is Metadata?
    • Meta - "an underlying definition or description"
    • Metadata is a definition or description of data
    • Back room metadata is process related – such as ETL guides for DBAs
    • Front room metadata is more descriptive helps query tools and report writers function smoothly
    • Front room and back room metadata can overlap
    • Kimball 1998
  4. What is Master Data?
    • Master data - data that are critical sets of data in the organisation
    • Consists of people (patients and staff), things (financial management, assets), places, reference data (such as the NHI and HPI)
    • Does not include all of the organisations data.
    • Distinct, clearly defined by the business users, and managed as a core dataset.
    • Example - Data that are used organisation wide and supported by a HISO standard
  5. Relationship between Master Data, Metadata, and the Enterprise Data Warehouse
  6. Master Data Management
    • Master data management is defined as
    • A set of disciplines, applications and technologies for harmonising and managing the system of record and entry for the data and metadata associated with the key business entities of an organisation.
    • (Powell Media LLC, 2006)
  7. Master Data Management
    • A structured and prioritised approach to managing metadata
    • Definitions and coding used is ‘locked down’ and unable to be edited by business users
    • Business processes used to collect this data are the same and defined in the master data repository
    • Supports a Total Data Quality Management approach
  8. Benefits of Master Data Management
    • Allows for the management of core business data in a consistent way across the organisation, including business processes, governance, and change management -
      • Reduced data redundancy
      • More consistent data
      • Significantly more efficient business through a complete view
      • Improved efficiency in change management processes
      • Improved return on IT investment
  9. What is Required?
    • Multi-year evolving strategic initiative that includes the development of:
    • Master data store and master metadata store
      • repository for storing and maintaining master data and its corresponding metadata
    • Master data integration services
      • such as enterprise application integration (EAI), extract, transform, and load (ETL) and enterprise information integration (EII)
    • Master data management processes
  10. Developing Master Data Management
    • Developed as an organisation wide strategic initiative with strong executive leadership support.
    • Challenges similar to any other strategic data quality initiative, and include:
      • Acceptance of ongoing roles and responsibilities
      • Organisation-wide governance to ensure discipline
      • Significant investment is required over time
      • Significant human resources may be required
      • Difficult to measure return on investment
  11. Governance and Change Management
    • A common set of master data governance procedures and business models, and business rules to maximise master data quality
    • Clear policies and procedures around changes to master data are critical to ensure consistent data management
  12. Metadata Repositories Including Master Data Management
    • Data and metadata reside in a single repository for consistent management of changes and updates
    • Master data allows for prioritisation in setting up the metadata repository. Decisions include:
      • What is our most important data in the data warehouse?
      • How do we want to manage this differently from our other data given finite resources?
  13. Contents of the Metadata Repository
    • Reason Purpose for of the Collection
    • Coverage of the Collection
    • Stakeholders of the Collection
    • Composition and lineage of the Collection
    • Access, Privacy & Security Requirements
    • Key Process Flows
    • Business Rules & Data definitions
    • Quality & Audit Requirements & Quality Assessment
    • Governance
    • References to Standards
    • Future Requirements
    • Collection Awareness/Communication
  14. Contents of the Metadata Repository
    • Data specific to individual departments, or defined differently by departments, may also be included in the data store and metadata repository.
    • May initially make up the majority of the metadata held in the repository.
    • Over time, as data elements are defined organisation wide, it can be moved into the master data store and repository.
  15. Access to the Repository
    • A web-based interface:
    • Allows all appropriate users access to the information
    • Data requests
    • A search browser will also assist users to find information, particularly once the repository increased in size.
  16. Conclusion
    • Master data management approach to setting up a metadata repository allows for:
      • Total Data Quality Management approach
      • Whole of organisation perspective
      • Prioritisation of data most important to the organisation
      • Allowing for other data to be held in the repository
  17.  

+ HINZHINZ, 2 years ago

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Karolyn Kerr
(P11, 16/10/08, Data Quality stream, more

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