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.

1. Yannis Charalabidis
Ass.Prof. University of Aegean

4. Natural
Social Sciences and
sciences Governance Citizens
Engineering
ICT Policy
Law Modelling
User groups Single point of
Access
Research and Industry Governance and Citizens and
Tailored data
services policy making education
Search and Knowledge / Collaboration / Directory services
Navigation tools Data Mining Communities and direct linking to
Data Service
Provision data archives
Visualisation Data Personalisation
Infrastructure - Analytics analytics
Data Quality Knowledge Mapping Automatic curation
algorithms
Data Curation
Infrastructure Data Linking Semantic Annotation Anonymisation Harmonisation
Public Sector Information Sources
Public Organisations, Repositories, Databases

5. Delivering Public Sector Data to Researchers and Citizens
Delivering Open Data Needs and guidelines to Public Sector Organisations

7. 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 ICT
EGI-inSPIRE

13. For the citizen For the researcher
DISCOVERY
(DC, eGMS, CKAN, ADMS)
Linked Formal
Open CONTEXT Information
Systems
Data (CERIF)
DETAIL
(SUBJECT OR TOPIC SPECIFIC)

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