1 / 31

Data Sharing Across Agencies: A guide to getting on the same page

Data Sharing Across Agencies: A guide to getting on the same page. Bruce Schmidt Pacific States Marine Fisheries Commission Presentation to Oregon Chapter, AFS February, 2010. www.streamnet.org. Increasing Wide-scale Programs. Coordinated Monitoring. ESA Recovery Planning. Population

phuc
Download Presentation

Data Sharing Across Agencies: A guide to getting on the same page

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Sharing Across Agencies:A guide to getting on the same page Bruce Schmidt Pacific States Marine Fisheries Commission Presentation to Oregon Chapter, AFS February, 2010 www.streamnet.org

  2. Increasing Wide-scale Programs Coordinated Monitoring ESA Recovery Planning Population Assessments (VSP) Cross Jurisdictions Need Shared Data High Level Indicators, SOTR Inter-jurisdictional Management BiOp Compliance Co- management Legal: Remand, US v. OR, PST, etc.

  3. Benefits of Sharing Data • Fosters collaboration • Expand scope of analyses (ESU, DPS) • Contributes to multi-agency processes (e.g., ESA analyses, recovery planning and list/delist decisions; co-management; etc.) • Could distribute cost of data collection

  4. Talk of a Comprehensive Regional Data Delivery System… 2002 Council Contract with SAIC 2000 BiOp RPA 198 So why isn’t there one? NOAA Guidance 2008 BiOp RPA 72 2006 Col. Basin Data Center CBCIS / NED Fish and Wildlife Program

  5. Impediments to Sharing Data • Sampling is focused • Do things differently • Data often not consolidated internally • Data not on Web • Hard for others to understand, use the data • Concerns over misuse, first use, etc. • Cost

  6. Current Data Sharing Status: • Individual agencies (States, Tribes, Federal) • Independent • Different mandates • Sample different environments • Longstanding approaches • No mandate to share data • Little support, capability to share data

  7. Current Data Sharing Status: • Wide scale database projects • Focused – specific data types • Not comprehensive

  8. Current Data Sharing Status: • Proposed regional data delivery applications • Comprehensive • Never built, or not completed • Mechanisms to supply data not in place

  9. Ideal Distributed Network Output Tool Regional Data Access Standards Standards Standards … Fish Habitat Water Others db db db db db db db db db db db db Multiple types of data from multiple sources, standardized by data type

  10. Use Regional Data Projects But, Current Reality is more like this: Output Tool Regional Data Access Pacific Northwest Water Quality Data Exchange StreamNet db db db dd … Fish Habitat Water Others db db db db db db db db db db db db Multiple types of data from multiple sources, standardized by data type

  11. Consolidated v. Individual Offices Approach Database Project Agency Database Data sources: field offices, research projects, etc.

  12. Most Expedient Output Tool Regional Data Access db db dd … Fish Habitat Water Others db db db db db db db db db db db db Multiple types of data from multiple sources, standardized by data type

  13. The Essential Driver of a Comprehensive Data Delivery System Output Tool Regional Data Access Data flow can be automated db db dd … Fish Habitat Water Others db db db db db db db db db db db db Multiple types of data from multiple sources, standardized by data type

  14. Automation is the key! • Efficiency, Speed • Accuracy • Automatic data updates • Canned products • Translation to regional format • Essential for any data portal technology

  15. The ultimate endpoint?? … Water Habitat Fish Others db db db db db db db db db db db db Multiple types of data from multiple sources, standardized by data type

  16. Considerations for Regional Data Collection, Sharing and Exchange ‘The Data Sharing Guide’ A White Paper to: • Outline steps • Avoid overlooking critical steps • Describe roles entities play • Break it down: it’s not really that difficult ftp://ftp.streamnet.org/pub/streamnet/projman_files/Data_Sharing_Guide_2009-06-01.pdf

  17. How Does the Data Sharing Guide Help? • Organize discussions • Consider ALL components • Provide a blueprint • Identify needed support Assure that when a system is built, the data are there to deliver!

  18. The Data Sharing Guide addresses data flow from field to highest reporting need Non prescriptive Any data type Any agency Non-technical Primary focus is on infrastructure and processes to assure data accessibility

  19. What’s Needed? 1. Uninterrupted data flow, source to output

  20. Data Flow Steps in Data Flow Regional data application GOAL Data interoperability Regional standards Post data on the Web Post metadata on the Web Describe full data set (metadata) Agency data QA / QC Agency database system Local use of data Describe the data (metadata) Quality Assurance / Quality Control Input to electronic form Field data creation (local office/project)

  21. Data Flow Steps in Data Flow Regional data application GOAL Data interoperability Regional standards Post data on the Web Post metadata on the Web Describe full data set (metadata) Agency data QA / QC Agency database system Local use of data Describe the data (metadata) Quality Assurance / Quality Control Input to electronic form Field data creation (local office/project)

  22. Data Flow Steps in Data Flow Regional data application GOAL Any missed step can prevent data flow! Data interoperability Regional standards Post data on the Web Significant effort to bridge the gaps! Post metadata on the Web Describe full data set (metadata) Agency data QA / QC Agency database system Local use of data Describe the data (metadata) Quality Assurance / Quality Control Input to electronic form Field data creation (local office/project)

  23. What’s Needed? 1. Uninterrupted data flow, source to output 2. Data validated by agency

  24. What’s Needed? 1. Uninterrupted data flow, source to output 2. Data validated by agency 3. Descriptive information (metadata)

  25. What’s Needed? 1. Uninterrupted data flow, source to output 2. Data validated by agency 3. Descriptive information (metadata) 4. Data and metadata on the Internet

  26. What’s Needed? 1. Uninterrupted data flow, source to output 2. Data validated by agency 3. Descriptive information (metadata) 4. Data and metadata on the Internet XML SQL Database Spreadsheet ASCII Word Processing PDF

  27. What’s Needed? 1. Uninterrupted data flow, source to output 2. Data validated by agency 3. Descriptive information (metadata) 4. Data and metadata on the Internet 5. Data able to roll together Ideal: standard data collection, definition, codes Minimum: Data translate to a standard

  28. All of this is needed for seamless data delivery to ANY regional tool

  29. Sampling Crews Sampling Agencies Negotiate key issues Metrics Methods Data disposition Contract language Support data automation Technical assistance System development Data tasks for agencies Post data & metadata Feed regional data tools Set priorities Policies to remove obstacles to data sharing Agency support Create the data Data Entry QA Describe the data Maintain the data Establish procedures Set standards, codes Agency data systems Post data / metadata Biological & data mgt. responsibilities Roles Database Projects Funding Entities Policy Makers Regional Data Users

  30. The Data Sharing Guide Will Help To: • Inform development of agency data systems • Inform development of a regional data system • Avoid skipping essential components • Get us started

  31. Questions? www.streamnet.org Funded by: Through: Fish and Wildlife Program Administered by: Photographs courtesy of CalFish

More Related