Collaborating to Improve & Sharing Data. Collecting, Compiling & Sharing Data.

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Presentation transcript:

Collaborating to Improve & Sharing Data

Collecting, Compiling & Sharing Data

Key Issues Revised Organization Structure Revised Strategy – “Geo-Spatial Strategy” New and Revised Standards & Policies – Including Proposed Data Management & Sharing Methods and Plans Basic & Advanced Tools/Ideas – Catalogs, Portals, Subscription Plans Work Plan

Concerns Communication Collaboration Solve Human Interoperability First. Collaborate to Improve Data and Share.

Geo-Spatial Advisory Group Geo-Spatial Coordination Office User Dept or Office Expert/Specialized Committees Working Groups/Task force Executive Group Proposed Organization Structure

Main Components of Structure Advisory Group – Ideas and Support from various Stakeholders Expert/Specialized Committee – Experts appointed to audit & advise on methods and standard for improvement of Specific Dataset Task Force – Technical Experts to work together (Work Plan, Time Frame and Budget) on Specific Dataset

Sharing Selling to Giving Now Focus Quality Improvement and Sharing Have to assure Custodians – it is sharing, not duplicating. “Sharing may help improve data” Quality & Version Control MOUs and Agreements

Next… Selection/Nomination for Advisory Group Workshops/Consultations Training/Workshop Room – with 10 Computers for Technical Training or Demonstration – Working area – Meeting Room Official Data Viewer Online

Reality Check… We have all thought of this, Will it work – Not easy…but..possible – This year, after the first FLIC meeting for the first time in History we have formed Sharing partnerships… starting with give and take and agreeing to improve – Lands, Agriculture, Forestry, Bureau of Census, Health, Mineral, Provincial Development, iTaukei Land Commission, Fiji Pine, Fiji Hardwood, FEA, Telecom, WAF, SCC, National Trust…. We have also been collaborated with agencies to collect/verify data such as Informal Settlements.

Summary Restructure & Revise New Strategy..Standard & Polices Collaboration/Task Forces for Priority Datasets Invitation to all of you for feedback & Assistance