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Open Data Platforms: Characteristics and Challenges

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This is a brief description of the ENGAGE project approach on Open Data followed by a view of new challenges for open data categorisation (metadata), curation and visualisation, and ecosystems bulding around open data communities. An example of metadata automation is illustrated.

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Open Data Platforms: Characteristics and Challenges

  1. 1. Yannis CharalabidisAss.Prof. University of Aegean
  2. 2. Natural Social Sciences and sciences Governance Citizens Engineering ICT Policy Law Modelling User groups Single point of Access Research and Industry Governance and Citizens andTailored dataservices policy making education Search and Knowledge / Collaboration / Directory services Navigation tools Data Mining Communities and direct linking toData ServiceProvision data archives Visualisation Data PersonalisationInfrastructure - Analytics analytics Data Quality Knowledge Mapping Automatic curation algorithmsData CurationInfrastructure Data Linking Semantic Annotation Anonymisation HarmonisationPublic Sector Information Sources Public Organisations, Repositories, Databases
  3. 3. Delivering Public Sector Data to Researchers and CitizensDelivering Open Data Needs and guidelines to Public Sector Organisations
  4. 4. Research and E- eGovernment Projects Scientific Communities Best practices & infrastructures Standardisation VENUS-C WeGOV CROSSROAD CEN/ISSS CESSDA COCKPIT ETSI euroCRIS DARIAH UBIPOL W3C FINES EGI/EGEE SEMIC.EU PADGETS eGOV GEANT OCOPOMO OASIS GENISI-DR GOV 2.0 ISO +SPACES DRIVER II SSH HLEG - Scientific Data GIC OpenDOAR +SPACES FIA ICPSR IFIP ENGAGE IMPACT Future ICTEGI-inSPIRE
  5. 5. For the citizen For the researcher DISCOVERY (DC, eGMS, CKAN, ADMS)Linked FormalOpen CONTEXT Information SystemsData (CERIF) DETAIL (SUBJECT OR TOPIC SPECIFIC)
  6. 6. _

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