Data inventory and gaps
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Transcript Data inventory and gaps
Development of a Marine Biological Data
Portal within the framework of EMODNet
Simon Claus, Leen Vandepitte, Klaas Deneudt & Tjess Hernandez
Flanders Marine Institute (VLIZ)
Outline Presentation
Introduction
Development phase
Standards & networks
System & functionalities
Data inventory & gaps
Challenges & recommendations
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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:
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EMODnet
1.
Inventory of holdings
2.
Gap analysis
3.
Building data/metadata portal + integrate biological data
4.
Strategy plan for future
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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)
Preliminary results
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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
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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
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The portal functionalities (http://bio.emodnet.eu)
→
Data catalogue
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The portal functionalities
→
Data querying
(taxa; parameters, datasets, layers)
View
List
Filter
Download
WoRMS
Metadata
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The portal functionalities
→
Data visualization
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The portal functionalities
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Taxonomic functionalities
Autocompletion taxonomic search queries
Show map, include child taxa
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Show map, including synonyms
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The portal functionalities
→
Data downloading
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The portal functionalities
→
Help & feedback
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Data inventory and gaps
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Data inventory and gaps
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Data inventory and gaps
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Data inventory and gaps: EurOBIS
EMODnet
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Data inventory and gaps: EurOBIS
Relative distribution Number of records per species
group in EurOBIS (total=14.245.339)
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Data inventory and gaps: EurOBIS
EurOBIS in April 2009
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EurOBIS in February 2011
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Data inventory and gaps
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Data inventory and gaps: EurOBIS
Available datatypes
0
5000000
10000000 15000000 20000000
Number of records
Metadata available
Geographic info availabale
Time referenced
Taxonomic standardized
Abundance data available
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Data inventory and gaps: national long term
monitoring
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Country
Sweden
Denmark
Germany
Netherlands
Belgium
United Kingdom
Ireland
France
Spain
Portugal
EMODnet
Groups
benthos, plankton, mammals
benthos, plankton, algae, reptiles, mammals
benthos, plankton, algae, birds, mammals
benthos, plankton, birds, plants, mammals, bacteria
benthos, birds, mammals
benthos, plankton, birds, algae, reptiles, mammals
benthos, plankton, birds, algae, mammals
benthos, plankton
plankton
(benthos), phytoplankton, shellfish
Temporal scope
1971 - present
1976 - present
1974 - present
1956 - present
1979 - present
1970’s - present
1970’s - present
1980’s - present
1987 - present
?
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Data inventory and gaps: national long term
monitoring
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Data inventory and gaps: species observations
per group
Nucella lapillus
Mytilus edulis
Nephrops norvegicus
Common name
dogwhelk
blue mussel
Dublin bay prawn
# records
21 617
21 586
19 239
Time-frame
1854 - 2009
1986 - 2010
1929 - 2010
# datasets
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55
35
Linked with http://www.marinespecies.org
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Data inventory and gaps: species observations
per group
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Data inventory and gaps: Indirect measures for
groups of species – chlorophyll a
Plot on Map
GeoNetwork metadata
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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.
Monitoring programs: in progr.
Provided and in progress (France, Germany...)
Stimulation by EU desirable
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Challenges & recommendations
Main strategies/barriers to the provision of data
Time gap....
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Challenges & recommendations
Monitoring effectiveness/performance of portal
Intensity of use: launched end of February 2011
After three months:
Feedback forms received (20) + feedback from MODEG
110 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….
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Challenges & recommendations
Challenges to rendering data interoperable, to producing contiguous data
Improving accuracy, precision and coverage
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
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Recommendations
Recommendations for the overall EMODnet
Sustainability
The model for governance by actors in the system
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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
Welcomed the communication Marine Knowledge 2020, in which a common architecture and governance
model for marine observations and data across the EU is proposed
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
Ecological tagging (functional group, invasive, protected...)
Improve link between other emodnet lots (cfr habitat mapping project, abiotic data...)
Technical improvements (visualise temporal component...)
Genomic data
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Thank you
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The portal functionalities
→
Standard Data attributes:
DateLastModified, CatalogNumber, ScientificName, Year, Month, Day, Longitude, Latitude,
Precision(m), MinDepth(m) , MaxDepth (m), Sex, Observed Individual Count, SampleSize,
InstitutionCode, Citation, TaxonLSID, Metadata
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