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Virtual Research Environmentssupporting biodiversity researchNeeds & priorities for Horizon 2020Vince SmithViBRANT Coordin...
Virtual Biodiversity ResearchViBRANTThe problemScience is global• It needs global standards• Global workflows• Cooperation...
Virtual Biodiversity ResearchViBRANTThe problem applied to biodiversity science• Inventory the Earth’s species• Document t...
Virtual Biodiversity ResearchViBRANTLinking “local” to “global” problems537 Scratchpads Communitiesby 7,291 active registe...
Virtual Biodiversity ResearchViBRANTA modular, flexible VRE ArchitectureA cloud of niche services plugged into a core VRES...
Virtual Biodiversity ResearchViBRANTA modular, flexible VRE ArchitectureA cloud of niche services plugged into a core VRES...
Virtual Biodiversity ResearchViBRANTData workflowsServices into and out of the VRE7 of 10
Virtual Biodiversity ResearchViBRANTIncentives to encourage uptake & useData paper assembled fromScratchpad databaseXML su...
Virtual Biodiversity ResearchViBRANTChallenges to VRE activities in H2020…Generic VRE issues to address:• Sustaining & enh...
Virtual Biodiversity ResearchViBRANT2014-2020: Biodiversity data capture needs…Contact: Vince Smith (vince@vsmith.info)10 ...
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Virtual Research Environments supporting biodiversity research: Needs & priorities for Horizon 2020

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Presented at the 10th e-Concertation Meeting in Track 4 (Digital environments for collaboration), Brussels, Belgium 6-7 March 2013.

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Transcript of "Virtual Research Environments supporting biodiversity research: Needs & priorities for Horizon 2020"

  1. 1. Virtual Research Environmentssupporting biodiversity researchNeeds & priorities for Horizon 2020Vince SmithViBRANT CoordinatorNatural History Museum, Londonvince@vsmith.infoViBRANTVirtual Biodiversity6-7th March 201310th e-Concertation Meeting, BrusselsTrack 4: Digital environments for collaboration
  2. 2. Virtual Biodiversity ResearchViBRANTThe problemScience is global• It needs global standards• Global workflows• Cooperation of global playersScience is carried out “locally”• By local scientists• Being part of local infrastructures• Having local funders2 of 10
  3. 3. Virtual Biodiversity ResearchViBRANTThe problem applied to biodiversity science• Inventory the Earth’s species• Document their relationships• “Publish” & apply these dataGoal…• 1.8 M described spp. (10M names)• 300M pages (over last 250 years)• 1.5-3B specimensData set…People…• 4-6,000 scientists• 30-40,000 “pro-amateurs”• Many more citizen scientists?Linking grand challenges to local research activities3 of 10
  4. 4. Virtual Biodiversity ResearchViBRANTLinking “local” to “global” problems537 Scratchpads Communitiesby 7,291 active registered userscovering 18,790 taxain 511,192 pages• Hosted VRE (Scratchpads) for biodiversity• Ecosystem of user communities• Communities self-assemble• We CANNOT predict their research questions• We CAN predict their data & service needs• Support data management & workflowsUser engagement though a VRE“Success definedthrough engagement”4 of 10
  5. 5. Virtual Biodiversity ResearchViBRANTA modular, flexible VRE ArchitectureA cloud of niche services plugged into a core VREService based VirtualResearch EnvironmentCore/Pluggable servicesExternal serviceExternal service External serviceExternal serviceExternal service5 of 10
  6. 6. Virtual Biodiversity ResearchViBRANTA modular, flexible VRE ArchitectureA cloud of niche services plugged into a core VREService based VirtualResearch EnvironmentDatapublishingDatamodellingPhylogeneticanalysisCitizenscienceSpeciesIdentificationResearch Support• Data management• Visualisation• WorkflowsManagement Support• Communication• Task assignment• Planning6 of 10
  7. 7. Virtual Biodiversity ResearchViBRANTData workflowsServices into and out of the VRE7 of 10
  8. 8. Virtual Biodiversity ResearchViBRANTIncentives to encourage uptake & useData paper assembled fromScratchpad databaseXML submission, peer review &marked-up publication by Pensoft5-step workflow for selecting data,adding metadata & previewingNew Biodiversity Data Journal(worldwide coverage)PDFHTMLXMLCitation, usage statistics, data aggregation and data/paper publishingdoi:10.3897/zookeys.50.5398 of 10
  9. 9. Virtual Biodiversity ResearchViBRANTChallenges to VRE activities in H2020…Generic VRE issues to address:• Sustaining & enhancing VRE coreactivities• Trusting external services• Persistence of data & services• Effective embedding and training ofuser community• Agile development to meetchanging user needs• Delivering immediate user benefits• Success defined through usage(not always cutting edge, must beuseful, simple & easy to use)• Interoperability, not just about datastandards• Global use and benefits (not justwithin the EU)Data management themes:• Integration with long term datarepositories• Persistent identification & data citation• Open access, data publishing & OpenScience• Data and metadata standards,controlled vocabularies• Automated data extraction from textand other resources• Automated processing to link relateddata (including Linked Open Data)• Crowd-sourcing expertise• Mobile technologies to enable earlydata capture• Capacity building to expand datacapture9 of 10
  10. 10. Virtual Biodiversity ResearchViBRANT2014-2020: Biodiversity data capture needs…Contact: Vince Smith (vince@vsmith.info)10 of 10Aspect of biodiversity Type of data CapabilitiesLandscape/ecosystem Imagery Satellites, Drones, LIDARSpecies distribution(including communitycomposition)Point observation Specimens, Survey/monitoring, Citizen science, Cameratraps, Acoustic monitoring, Ecogenomics, Satellite/droneimagery, Literature, Traditional Knowledge, Regionalspecies lists, Image recognitionSpecies abundance Shape files Expert judgement, Niche modelling, Models includinginteractionsMeasurement Survey/monitoring, Citizen science, Ecogenomics,Satellite/drone imagery, Literature, Traditional KnowledgeSpecies Traits andfunctionsSpecimens, Literature, Genomics, Traditional Knowledge,Crowd- sourced dataIdentification Specimens, Literature, Barcode sequences, Diagnostickeys, Crowd- sourced expertiseInteractions Specimens, Text-mined Literature, Genomics, TraditionalKnowledge, Crowd-sourced data, IsotopesPhenology Specimens, Literature, Genomics, Diagnostic keys,Traditional Knowledge, Crowd-sourced dataThreat status Red list, Statutory authorities, Automated changedetection
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