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Data Management

This document outlines the importance of comprehensive data management (DM) protocols in managing geospatial and environmental data. It discusses the rationale behind data management as an asset, including compliance with standards and security for information users. Key objectives include coordination with protocol leads, development of management plans, and facilitation of data sharing. Progress and challenges are highlighted, including the need for effective communication and the planning required for data entry and quality assurance. The document concludes with recommendations for improved management and a QA/QC framework.

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Data Management

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Presentation Transcript

  1. Data Management Jennifer L. Burke MOJN Protocol Data Manager Bob Truitt MOJN Data Manager Dana Robinson GIS Specialist

  2. Outline • Why • Scope • Objectives • What is….. • Progress • Challenges • Recommendations • Questions and Discussion

  3. Rationale • Why manage data? • An asset ($$$) • Fit for purpose • Compliant (metadata) • Secure • Information users • Decisions

  4. Scope • Comprehensive DM system • Geospatial data • GIS • GPS

  5. TC & BOD PM Protocols Data Management Objectives • Coordination with all protocol leads • Develop long–term effective and efficient management plans • Protocol support • Technical writing • Protocol Narrative and SOPs • Information Workflow • Develop databases • Facilitate data sharing • QA/QC and data integrity

  6. Project Cycle

  7. Information Workflow • Data • Field data • Geospatial data • GPS data • Photos • Specimens/vouchers • Lab samples • Lab results • QA/QC • Disseminate • Archive Workflow Information

  8. Annual Schedule • Multiply workload by number of protocols • Requires considerable planning by all staff • Project management • Time……

  9. Annual Schedule Streams and Lakes Year round!

  10. DataEntry Port

  11. Data Entry Field Data

  12. QA/QC • Built-in Quality Control • Training (protocol lead) • SOPs • Field datasheets • Database • e.g. No default zeros, range of values, etc. • Series of QA review steps Data Manager Protocol Lead Data Entry Field Datasheets Review Review Review Certify QC Analyses

  13. COMPLIANCE • Inventory and Monitoring Program • Data Manager standards • Database standards • Water Resources Division and EPA • Water quality sampling • Vouchers • Sensitive data • Metadata

  14. Progress - Database 0      100 % Never Ending Stories…….

  15. Progress – Communication/Coordination

  16. Progress - Accessibility

  17. Challenges • TIME…… • Constant coordination with protocol leads • Field crew data delivery to MOJN • Long term access and storage • Dissemination to the parks on an annual basis • Updating

  18. Recommendations • Current personnel • Protocol Data Manager • Data Manager • GIS specialist • Future recommendation – Networks moving towards….. • Data Manager • Database Developer/Technician (GS-9) • GIS Specialist

  19. QUESTIONS & DISCUSSION Thank you! Library of Congress, Prints & Photographs Division, Ansel Adams, photographer, [Reproduction #: LC-DIG-ppprs-00284].

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