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CLME - IMS/REMP

CLME - IMS/REMP. Paul Geerders Project leader IMS/REMP pgeerders@clmeproject.org paul@pgcons.nl. 1. Contents. Summary of main issues and results up to now Time frame Obstacles found Lessons learnt Future activities. 2. IMS/REMP. IMS – Information Management System

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CLME - IMS/REMP

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  1. CLME - IMS/REMP Paul Geerders Project leader IMS/REMP pgeerders@clmeproject.org paul@pgcons.nl 1

  2. Contents • Summary of main issues and results up to now • Time frame • Obstacles found • Lessons learnt • Future activities 2

  3. IMS/REMP • IMS – Information Management System • internet-basedreference to sources of data and information (metadata directory) • REMP – RegionalEnvironmentalMonitoring Program • monitoring of ecosystems, environment and related issues • monitoring of project progress and impact of SAP implementation

  4. Results • BetaversionIMS/REMP (http://clmeims.gcfi.org/) • Indicators (3 x 3 matrix) • Data Policy draft • Network of contacts in CLME countries • Contacts with stakeholder organisations • Contacts with other LME’s 4

  5. DECISION MAKING ANALYSIS AND ADVICE: DSS IMS/REMP DATA AND INFORMATION REVIEW AND EVALUATION : MONITORING IMPLEMENT-ATION IMS/REMP and PolicyCycle

  6. Demonstration projects • IMS forIntegratedCoastalArea Management ICAM • IMS forEconomicValuation • IMS formanagement of SpinyLobster 6

  7. Lessons learnt • Need for harmonized monitoring of marine-coastalecosystems and environment, including basins, beaches, mangroves and wetlands • Need for harmonized monitoring of fisheries industry and effort (including white, grey and black market), and of fish stocks • Strengthening of data and information management, from institutional to regional • Development of suitable numerical modelsfor forecasts and simulation as part of DSS • Development of dedicated expert/knowledge systems as part of DSS • Regional agreement on common data policy as basis for sharing of data and information 7

  8. State of …

  9. Foreseen activities • Furtherdevelopment of IMS/REMP and expansionwithnewthemes • Cooperation on data and information issues with other LME’s • Assistance and advice to CLME countrieson data/information issues • Archaeology and rescue of historical data archives • Crowdsourcing of data and information • Ferrybox concept formonitoring

  10. Relation with CLME SAP • Enhance the data and information collection (monitoring and surveillance), management and reporting capacity at regional, sub-regional and national levels, including through the establishment of public-private partnerships • Facilitate the uptake of lessons learnt, and of the results of monitoring and research in (sub)regional and national science-policy processes through dedicated data and information products (including indicators) and services (IMS/REMP) • Operationalise and further enhance interlinked, (sub)regional decision support systems (DSS) for the relevant fisheries sectors • Develop and adopt a regional policy for data and information harmonization and sharing

  11. Conclusions • IMS/REMP helps to locate the data and information needed for decision making • IMS/REMP helps to ensure the access to data and information required to generate indicators • IMS/REMP promotes and supports the good management of data and information • IMS/REMP promotes the sharing of data and information 11

  12. Thank you !

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