CalHHS Data Knowledge Base
CalHHS Open Data PortalCalHHS Geoportal
  • Data Knowledge Base
  • Data Sharing
    • Revision History
    • Data Sharing Guidebook
    • Lessons Learned
    • Data Sharing Plays
      • Play 1: Sharing Metrics
      • Play 2: Identify
      • Play 3: Business Case
      • Play 4: Prioritize
      • Play 5: Metadata
      • Play 6: Describe
      • Play 7: Promote
      • Play 8: Prepare
    • Data Element Definitions
    • Application Program Interfaces
    • Additional Training and Reference Materials
    • Business Case Creation
      • Determining Goals and Strategy
      • Implementation Details
      • Evaluating Outcomes & Impacts
      • Communicating Your Results
  • Data De-Identification
    • Revision History
    • 1. Purpose
    • 2. Background
    • 3. Scope
    • 4. Statistical De-Identification
      • 4.1 Personal Characteristics of Individuals
      • 4.2 Numerator - Denominator Condition
      • 4.3 Assess Potential Risk
      • 4.4 Statistical Masking
      • 4.5 Legal Review
      • 4.6 Departmental Release Procedure for De-Identified Data
    • 5. Types of Reporting
      • 5.1 Variables
      • 5.2 Survey Data
      • 5.3 Budgets and Fiscal Estimates
      • 5.4 Facilities, Service Locations and Providers
      • 5.5 Mandated Reporting
    • 6. Justification of Thresholds Identified
      • 6.2 Assessing Potential Risk – Publication Scoring Criteria
      • 6.3 Assessing Potential Risk – Alternate Methods
      • 6.4 Statistical Masking
    • 7. Approval Process
    • 8. DDG Governance
    • 9. Publicly Available Data
    • 10. Development Process
    • 11. Legal Framework
    • 12. Abbreviations and Acronyms
    • 13. Definitions
    • 14. References
    • Appendix A: Expert Determination Template
    • Appendix B: 2015 HIPAA Reassessment Results
    • Appendix C: State and County Population Projections
  • Open Data Handbook
    • Revision History
    • Open Data: Purpose
    • Disclosure
    • Governance
    • Guidelines
    • Use
  • Appendix
    • Glossary and Acronyms
    • Data Tools
    • Data Discovery Sessions
    • Data Sharing Benefits
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  1. Appendix

Data Discovery Sessions

PreviousData ToolsNextData Sharing Benefits

Last updated 5 months ago

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Discovery sessions are an effective approach to effectively gather information from staff across your department. There is no set format for a discovery session. Discovery session questions will be context-specific to your department’s needs and the program(s) related to a data set.

Some key aspects of an effective discovery session include:

  • Research Ahead of Time: Review any available data architecture and program documentation to identify initial questions and build context before the discovery session. Reviewing materials ahead of the meeting also ensures efficient use of participant time.

  • Prepare Your Questions: Creating a set of discovery questions helps ensure you obtain the information you need on the data set. Be prepared for additional topics and questions to arise organically during the discovery session.

  • Capture the Information: Ideally, have one person ask the discovery questions while another captures meeting notes. Often this is impossible. If acceptable to the participants, record the meeting for later review.

  • Confirm Your Understanding: Communicate your understanding to participants for confirmation and clarity.

When scheduling discovery sessions, include context for the effort and the objectives for the discovery session. To establish a common understanding, the session should start with a definition of data-sharing; examples of data-sharing help provide additional context. The provides some short videos that review impactful data-sharing efforts.

The article from UX Everything provides useful tips for preparing and conducting discovery sessions.

Supplemental: Benefits page
Discovery Sessions