1. Development of a Marine Biological Data Portal within the framework of EMODNet Simon Claus, Leen Vandepitte & Tjess Hernandez Flanders Marine Institute (VLIZ)

2. Outline Presentation Introduction Development phase Standards & networks System & functionalities Data inventory & gaps and quality control Challenges & recommendations June 22, 2016 2 EMODnet

3. The overall objectives Assemble fragmented and inaccessible marine data into interoperable, contiguous and publicly available data streams for complete maritime basins. define the appropriate processes, best technology and approximate costs of a final EMODNET provide first components of a final system which will be useful to provide value-added services. Temporal/Spatial distribution Phytoplankton, Zooplankton, Angiosperms, Macro-algae, Invertebrate bottom fauna, Birds, Sea mammals, Reptiles. Parameters: Abundance, Biomass. Geographic Focus: North Sea incl. Kattegat, Channel; Bay of Biscay, Iberian Coast Proposal Biological Lot: 1. Inventory of holdings 2. Gap analysis 3. Building data/metadata portal + integrate biological data 4. Strategy plan for future June 22, 2016 3 EMODnet

4. Current stage of EMODnet Biology Finalizing the development phase of the preparatory action Final report Prototype portal Analysis, lessons learned Recommendations for future and for a final EMODnet Start ‘maintenance phase’ in may 2011 (for one year) June 22, 2016 4 EMODnet

5. The data portal system →Existing network of distributed data systems → OGC compliant data system → Standardized data system → System integrating data with different levels of accessibility → User friendly, can be used by non-specialist June 22, 2016 5 EMODnet

6. The data portal system → Based on EurOBIS data system: standards → Uses OBIS scheme for integrating biogeographic data → Linked with global systems (OBIS-IODE/IOC-GBIF) → Taxonomy matched with World Register of Marine Species → Geographic standards: OGC compliant, Marine Gazetteer for geographic names June 22, 2016 6 EMODnet

7. The portal functionalities →Data querying (taxa; parameters, datasets, layers) June 22, 2016 7 EMODnet WoRMS View List Filter Download Metadata

8. The portal functionalities →Taxonomic functionalities (WoRMS) June 22, 2016 8 EMODnet Show map, include child taxa Show map, including synonyms Autocompletion taxonomic search queries

9. The portal functionalities →Data visualization June 22, 2016 9 EMODnet

10. The portal functionalities →Data table (list) June 22, 2016 10 EMODnet

11. The portal functionalities →Selected Data attributes from EurOBIS: DateLastModified, CatalogNumber, ScientificName, Year, Month, Day, Longitude, Latitude, Precision(m), MinDepth(m), MaxDepth (m), Sex, Observed Individual Count, SampleSize, InstitutionCode, Citation, TaxonLSID, Metadata June 22, 2016 11 EMODnet

12. The portal functionalities →Selected Data attributes from EurOBIS: June 22, 2016 12 EMODnet WHAT? WHERE? +

13. The portal functionalities →Selected Data attributes from EurOBIS: June 22, 2016 13 EMODnet BY WHO? WHEN? +

14. The portal functionalities →Selected Data attributes from EurOBIS: June 22, 2016 14 EMODnet HOW MANY?

15. The portal functionalities →Filter Data June 22, 2016 15 EMODnet

16. The portal functionalities June 22, 2016 16 EMODnet →Data downloading

17. The portal functionalities →Data catalogue (metadata) June 22, 2016 17 EMODnet

18. The portal functionalities →Help & feedback June 22, 2016 18 EMODnet

19. Data inventory and gaps June 22, 2016 19 EMODnet

20. Data inventory and gaps June 22, 2016 20 EMODnet

21. Data inventory and gaps June 22, 2016 21 EMODnet

22. Data inventory and gaps: EurOBIS June 22, 2016 22 EMODnet

23. Data inventory and gaps: EurOBIS June 22, 2016 23 EMODnet Relative distribution Number of records per species group in EurOBIS (total=14.245.339)

24. Data inventory and gaps: EurOBIS June 22, 2016 24 EMODnet EurOBIS in April 2009 EurOBIS in February 2011

25. Data inventory and gaps June 22, 2016 25 EMODnet

26. Data inventory and gaps: EurOBIS June 22, 2016 26 EMODnet

27. Data inventory and gaps: precision EurOBIS June 22, 2016 27 EMODnet polygon of a placename is translated to a centroid lat/long and the precision corresponds to the maximum radius of the bounding circle of that polygon

28. Data inventory and gaps: Taxonomic Quality control June 22, 2016 28 EMODnet DatasetBefore tax. checkAfter tax. check 1Amphiura sunderali 2Amphiura sundevaliAmphiura sundevalli 3Amphiura sundvali 4Amphiura sundevalli Dataset A (Spain)Dataset B (Greece) Acantholaimus sp. 1 Acantholaimus sp. 2 ? www.marinespecies.org

29. June 22, 2016 29 EMODnet Data inventory and gaps: Taxonomic Quality control www.marinespecies.org

30. Before quality controlAfter quality control 18°30’25’’N – 5°15’E18.51 ; 5.25 54,23N – 16.5S54.23 ; -16.5 Communication with provider Data inventory and gaps: Geographic Quality control

31. Some examples “Monitoring in Kongsfjorden area” “Monitoring in Belgian part of the North Sea” Latitude & longitude switched“+” & “-” signs switched

32. Data inventory and gaps: national long term monitoring June 22, 2016 32 EMODnet

33. Data inventory and gaps: national long term monitoring: REPHY monitoring June 22, 2016 33 EMODnet

34. Data inventory and gaps: species observations per group June 22, 2016 34 EMODnet Linked with http://www.marinespecies.orghttp://www.marinespecies.org

35. Data inventory and gaps: species observations per group June 22, 2016 35 EMODnet

36. Challenges & recommendations Main strategies/barriers to the provision of data Scientific datasets Through questionnaires to partner networks: metadata ok Data grant program (e.g. Black Sea, IBSS) – mini grants for digitizing/standardize/qc Through organisation of ‘scientific data workshops’ (MarBEF experience), in progr. Identified bioloigcal data products during workshop Implementation data products through data analysis workshops: distinct diversity patterns and hotspots (using diversity indices) of European Marine Waters based on EurOBIS data? species distribution patterns and trends of some selected higher organisms based on available data Monitoring programs: in progr. Provided and in progress (France, Germany...) Stimulation by EU desirable June 22, 2016 36 EMODnet

37. Challenges & recommendations Main strategies/barriers to the provision of data Time gap.... June 22, 2016 37 EMODnet

38. Recommendations Recommendations for the overall EMODnet Sustainability Welcomed the communication Marine Knowledge 2020, in which a common architecture and governance model for marine observations and data across the EU is proposed The model for governance by actors in the system All relevant actors; these include the large data collating centers, national organizations in charge of the monitoring of the marine environment, the private industry and the scientific research community Availability of standard procedures facilitating data flow Link with EU initiatives, EU directives (WFD, MSFD), national monitoring activities: facilitating data flow Future activities for the biological project Focus on data identified gaps (Also during maintenance phase) Ecological tagging (functional group, invasive, protected...) Improve link between other emodnet lots (cfr habitat mapping project (biological validation), abiotic data...) Technical improvements (visualise temporal component...) Genomic data June 22, 2016 38 EMODnet

39. Monitoring effectiveness/performance of portal Intensity of use: launched end of February 2011 After three months: Feedback forms received (20) + feedback from MODEG 150 downloads PhD, informative, Scientific research (Governmental institute), Research, Integration into OBIS, validation routines, For classes, Biogeographic research, marine data mgt. training, Data comparisons, science, species mapping and marine protection zones, I will use these data to estimate the ecological requirements of the species, The purpose of my research is to understand the impact of the environment on behaviour of species, I study the ecological requirements of the species, Ecological Niche, The assess the ecological niceh of the species, Ecological Niche, information, Variation of Copepod behaviour and effect of biomass variation, Effect of biomass on copepod behaviour, Habitat modelling., environmental analysis, Data vergelijking…. June 22, 2016 39 EMODnet

40. Monitoring effectiveness/performance of portal Comments from EU on draft final report In depth analysis, very useful input (combination from MODEG and feedback) Launched new version of portal based on input Comments on MRAG Lacking some detail in analysis (most comments on data catalogue, not on data portal) ‘Odd’ statements in summary: It is not possible to directly extract data on one species Much of the metadata, for instance dates and species are missing Expert in INSPIRE thematic groups Species observations Habitats/biotopes Biogeographic regions Use same standards as EMODnet: WoRMS, marine Ecoregions,... June 22, 2016 40 EMODnet

41. June 22, 2016 41 EMODnet Thank you

42. Challenges Fitness for purpose (measuring ecosystem health): link data EMODnet Bio portal to descriptors for GES Descriptor 1 states that Biological diversity is maintained. The quality and occurrence of habitats and the distribution and abundance of species are in line with prevailing physiographic, geographic and climate conditions => 14 million distribution records of which 50% contain abundance data. Descriptor 2 mentions that non-indigenous species introduced by human activities are at levels that do not adversely alter the ecosystem=>Although there are data on several non indigenous species available, the species have yet not been ‘tagged’ as non-indigenous Descriptor 4 states that All elements of the marine food webs, occur at normal abundance and diversity and levels capable of ensuring the long-term abundance of the species…=>the abundance data and taxonomic diversity information of the distributions could be used in order to test this. Descriptor 6 mentions that Sea-floor integrity is at a level that ensures that the structure and functions of the ecosystems are safeguarded and benthic ecosystems, in particular, are not adversely affected. The benthic data counts for about 20-25% of the data June 22, 2016 42 EMODnet