Providing Marine Data. The German Marine Data Infrastructure (MDI-DE) as an example for best practice

Transcription

1 Providing Marine Data The German Marine Data Infrastructure (MDI-DE) as an example for best practice

2 Data Originators 18 Agencies and Institutions in the EEZ and 12 Mile Zone Federal Government BSH Schleswig-Holstein LKN-LLUR Federal Government BAW Niedersachsen NLWKN NLPV Federal Government BfN Mecklenburg-Vorpommern LUNG

3 For which Systems do we need Data IODE MyOcean INSPIRE OSPAR CISE GEBCO HELCOM MaNIDA SeaDataNet ICES Copernicus InSitu MUDAB EMODnet BOOS NOOS TMAP MSFD BaltSeaPlan AufMod WasserBLIcK WFD GDI-DE

4 INSPIRE at Sea Annex I Coordinate reference systems Geographical grid systems Geographical names Administrative units Addresses Cadastral parcels Transport networks Hydrography Protected sites Annex II Elevation Land cover Orthoimagery Geology Marine Data Infrastructure (MDI-DE) Annex III Statistical units Buildings Soil Land use Human health and safety Utility and governmental services Environmental monitoring facilities Production and industrial facilities Agricultural and aquaculture facilities Population distribution demography Area management/restriction/regulation zones and reporting units Natural risk zones Atmospheric conditions Meteorological geographical features Oceanographic geographical features Sea regions Bio-geographical regions Habitats and biotopes Species distribution Energy resources Mineral resources

5 Annex I Coordinate reference systems Geographical grid systems Geographical names Administrative units Addresses Cadastral parcels Transport networks Hydrography Protected sites Annex II Elevation Land cover Orthoimagery Geology Marine Data Infrastructure (MDI-DE) INSPIRE at Sea Annex III Statistical units Buildings Soil Land use Human health and safety Utility and governmental services Environmental monitoring facilities Production and industrial facilities Agricultural and aquaculture facilities Population distribution demography Area management/restriction/regulation zones and reporting units Natural risk zones Atmospheric conditions Meteorological geographical features Oceanographic geographical features Sea regions Bio-geographical regions Habitats and biotopes Species distribution Energy resources Mineral resources

6 Annex I Coordinate reference systems Geographical grid systems Geographical names Administrative units Addresses Cadastral parcels Transport networks Hydrography Protected sites Annex II Elevation Land cover Orthoimagery Geology Marine Data Infrastructure (MDI-DE) INSPIRE at Sea Annex III Statistical units Buildings Soil Land use Human health and safety Utility and governmental services Environmental monitoring facilities Production and industrial facilities Agricultural and aquaculture facilities Population distribution demography Area management/restriction/regulation zones and reporting units Natural risk zones Atmospheric conditions Meteorological geographical features Oceanographic geographical features Sea regions Bio-geographical regions Habitats and biotopes Species distribution Energy resources Mineral resources

7 Annex I Coordinate reference systems Geographical grid systems Geographical names Administrative units Addresses Cadastral parcels Transport networks Hydrography Protected sites Annex II Elevation Land cover Orthoimagery Geology Marine Data Infrastructure (MDI-DE) INSPIRE at Sea Annex III Statistical units Buildings Soil Land use Human health and safety Utility and governmental services Environmental monitoring facilities Production and industrial facilities Agricultural and aquaculture facilities Population distribution demography Area management/restriction/regulation zones and reporting units Natural risk zones Atmospheric conditions Meteorological geographical features Oceanographic geographical features Sea regions Bio-geographical regions Habitats and biotopes Species distribution Energy resources Mineral resources

8 MDI-DE Marine Data Infrastructure (MDI-DE) MDI-DE = Marine Data Infrastructure - Germany Supra-institutional network for the integration of marine data from all relevant data sources National Institutions Federal Institutions Research Organizations National marine and coastal information system Central geoportal Central metadata catalogue Local infrastructure nodes providing data Project was funded by the German Ministry of Education and Research Cooperation arrangement between the partners for permanent operation

9 Future Network Service Oriented Architecture Decentralized network of data providing services LKN LLUR Portal BAW MDI-DE GDI-BSH BSH NOKIS BfG Gazetteer BfN NN Data and Services documented with metadata NLWKN / NLPV Services Metadaten Daten Dienste Thesaurus vti Focus on interoperability WSDn Harvesting AWI open standards (ISO, OGC). LUNG HZG

10 Eutrophication HELCOM, 2006: Development of tools for assessment of eutrophication in the Baltic Sea, Baltic Sea Environmental Proceedings No. 104

11 Harmonization: Example Eutrophication The Nitrite-N-Layer of different agencies with their own styles The harmonized Nitrite-N-Layer with unified symbols and legend

12 MSRL D5: Eutrophication (Nitrate-N)

13 MSRL D5: INSPIRE compliant WFS

14 MDI-DE Portal Data Search DataVisualisation Data Access

15 CONTIS (Continental Shelf Information System)

16 Sediments, Classification and Thickness

17 Spatial Subject Data: & Profile-Lines / Boreholes

18 datadiver Marine Data Infrastructure (MDI-DE)

19 MDI-DE Website

20 Experiences made Organization versus Technology Partners have to be on the Same Level (Technology and Thinking) Data has to be interoperable (Harmonization was underestimated) Licensing of the data has to be clear (its preferable when the data is free) Data Provision has to meet the User Requirements (Quality instead of Quantity) A clear task for the Use of the Data is needed (theoretical Use Cases are not sufficient)

21 Similarities between MDI-DE and INSPIRE Like INSPIRE MDI-DE has to deal with a lot of independent Data-Providers MDI-DE is using the same basic Architecture as INSPIRE The data should be brought to the User by Services One of the goals was to use INSPIRE regulations, guidelines and specifications where ever it was possible. MDI-DE has tried to use INSPIRE for Reporting Obligations such as WFD, MSFD Interdisciplinary provision of data With all these similarities MDI-DE could be looked at as a Test Bed for INSPIRE.

22 Good governance in the context of spatial data In the political world good governance describes how public institutions conduct public affairs and manage public resources. There is no doubt that characteristics like effectivity, efficiency, accountability, transparency and responsiveness could only be achieved when reliable spatial data is permanently available for political and economic decisions. This is where Spatial Data Infrastructures (SDI) like MDI-DE and INSPIRE come into play.

23 A few Comments on INSPIRE INSPIRE is to complicated. Even at this stage only a few experts overlook the whole INSPIRE process. For most people INSPIRE is a riddle wrapped up in an enigma. Where is the data? A lot services already have been set up for INSPIRE, but if you look for a specific dataset you can t find it and you don t know where to search. The provision of data is not driven by the needs of the user. At this stage INSPIRE is trying to provide as much data as possible. But quite often it s not the data the user needs.

24 But Marine Data Infrastructure (MDI-DE) A few Comments on INSPIRE INSPIRE was a big boost for Spatial Data in Europe. Without INSPIRE a lot of people wouldn t have started to think about spatial data and a lot of countries wouldn t be able to provide spatial data. INSPIRE has finished the first step, it has reached the Version 1.0. A lot of people have put a lot of efforts into it, to set up a system as good as possible. But it only could be the first step. INSPIRE has to be a living system which has to evolve according to the requirements of the users.

25 Thank you for your attention. Questions? johannes.mellesbsh.de,