Building Community Capacity Through Data Sharing
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Building Community Capacity Through Data Sharing. William Elliott Principle, GeoBorealis & Don Morgan, Executive Director, Northwest Data Sharing Network. Outline. Evolution of community based data management Historic Current Gap Response Implementation of community based data sharing
Building Community Capacity Through Data Sharing
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Presentation Transcript
Building Community Capacity Through Data Sharing William Elliott Principle, GeoBorealis & Don Morgan, Executive Director, Northwest Data Sharing Network
Outline • Evolution of community based data management • Historic • Current • Gap • Response • Implementation of community based data sharing • Successes and challenges of community based data sharing • Summary
Evolution - Past • Paper submission of activities: • Recreation tenures • Forestry • Local government inventory staff • Provide local data coordination • Provide coordination with province • Contribute to infrastructure
Evolution - Current • Transition to new systems • Centralization: • Central government data warehouse • No local government inventory staff • No local data management • Forestry - electronic submission
Evolution - Gap • Lack of Local Community Data Management Capacity: • Data Replication • Duplication of Effort • increased costs for users and producers • Lack of Standards and Integration • Overall lack of Co-ordination
Evolution - Response • Establish a local community based shared data node • Implement collaborative organizational structures - governance • Co-ordinate projects among diverse groups that have joint interests • Promote a Data Ethic
Northwest Example • Northwest Data Sharing Network • Local data sharing • Community based
Central vs. Local • Local (NWDSN): • Local Level/Trust • Business Relationships • Organize and Share • TSA/LRMP/IFPA/FN • Business Processes • Project Data • Local Contact • User Perspective • Central (LRDW): • Provincial Level/Trust • Corporate Relationships • Source/Access/Retrieval • Province Wide • Standards & Infrastructure • Corporate Data • Provincial Contact • Custodian Perspective
Mission of NWDSN Timely, co-ordinated, co-operative, and innovative use of geo-spatial data sets to reduce the cost of data ownership and improve decision-making about land use in our region.
Drivers • Shared costs and benefits • Data inventory co-management • Land use monitoring – plan monitoring • Criteria indicator management - certification • Species and habitat monitoring - SARA • First Nation accommodation
Participants Members • Industry: Canfor, West Fraser, Babine Timber Sales • First Nations: Wet’suwet’un • Government: Skeena Region ILMB, Skeena-Stikine Forest District Partners • University of Northern BC • Northwest Community College • Bulkley Valley Centre for Natural Resource Research and Management • WALP
Extent • Current : • Morice • We’suwet’en • Lakes • Bulkley • Kispiox • Future: • Gitanyow • Kalum
Common Interests • sharing information • collaboration • Sustainable Forest Management • Land Use Planning • IFPA • Operational forestry • First Nation Accommodation
Implementation • Background Research • What’s worked elsewhere? • Establish Governance • Data Survey • Who has what? • What format is it in? • Load Data to Service Provider • Enable Data Viewing and Exchange
Research • Lessons from Established Data Collaborations: • Governance must be set up front • Policies must be formalized • Define Roles and Responsibilities upfront • Leadership must be encouraged • Complexity of the Operations must be reduced
Governance • What makes it work! • Clearly identify the business need • Form society before implementation • board membership • Develop trust • Keep it simple • Formalize policy structures • manage expectations • Business Planning - Business Case
Governance • Data sharing policy defines: • Custodianship • permissions - user/data specific • non-member access • membership • funding • rules and regulations • external partnerships
Accomplishments • Organizational • Governance established • Board of directors • Technical committee • Partnerships • UNBC, NWCC • BV Centre • IT companies • Membership Funding
Accomplishments • Technical • Inventory identification • Data loading • Data modeling • Data viewing • Inventory coordination – blocks and roads
NWDSN Challenges • Linking ILMB Local and Corporate Levels • Improving trust at all levels of organization • Risk, a fact of partnerships and new business • Government Policy Uncertainty • Funding • Slow Technical Implementation • Need for dedicated staff • Participant access to government infrastructure
Summary • Need for a balance between central and local data management • Local organization • brings together common interests • builds community level capacity • Sharing of knowledge and challenges • Local advocacy and coordination