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Critical Success Factors for Open Data Deployment in Public Administration 
Yannis Charalabidis 
University of the Aegean 
yannisx@aegean.gr 
IFIP eGov Conference, 1st September 2014, Trinity College, Dublin
OD Critical Success Factors - Categories 
1.Administration Engagement 
2.Legal Issues 
3.Infrastructures 
4.Citizen and Enterprise Engagement 
5.Research and Education
1. Administration Engagement 
1.1 Knowledge and training on Open Data within the Public Sector organisations 
1.2 Administrative Processes for Open Data 
1.3 Key personnel – key responsibilities for curating and publishing Open Data 
1.4 Administration strategy for Open Data at high level (OGP goals adoption) 
1.5 Incentives schemes for public servants, to promote open data
2. Legal Issues 
2.1 A (country – wide) legal framework for Open Data, enforcing administrations to curate and publish 
2.2 A (country – wide) guide on legal IPR issues, allowing organisations to pick the correct licensing form
3. Infrastructures 
3.1 Cloud infrastructures able to gather, manage and publish Open Data, interoperable with other sources within the country or region 
3.2 Metadata schemas and federated controlled vocabularies , for properly categorising information 
3.3 Complementary toolsets for performing additional curation tasks (cleaning, linking, visualising) 
3.4 Frameworks for assessing data quality and platform usability, providing constant feedback to developers and administrations 
3.5 Web services interfaces (API’s) for open data provision in the form of service feeds (from open data to pen services)
4. Citizen and Enterprise Engagement 
4.1 A “web 2.0” approach for Open Data, allowing citizens to post, rate, work with datasets and web services 
4.2 Incentives schemes for engaging citizens in Open Data usage 
4.3 Business models for allowing enterprises to develop add-on services, at a cost 
4.4. Specialised, open-data driven startup incubators
5. Research and Education 
5.1 Development of university and continuous education curricula on Open Data (administrative, legal, infrastructure, societal engagement issues) 
5.2 Development and maintenance of research areas roadmaps on open data, in order to consolidate research efforts and address open issues
The Open Data Critical Success Factors Taxonomy 
An online representation of the Critical Success Factors taxonomy if available at 
http://mind42.com/mindmap/357dfd65-3839- 4c76-8292-7435574699cc

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Critical success factors for open data

  • 1. Critical Success Factors for Open Data Deployment in Public Administration Yannis Charalabidis University of the Aegean yannisx@aegean.gr IFIP eGov Conference, 1st September 2014, Trinity College, Dublin
  • 2. OD Critical Success Factors - Categories 1.Administration Engagement 2.Legal Issues 3.Infrastructures 4.Citizen and Enterprise Engagement 5.Research and Education
  • 3. 1. Administration Engagement 1.1 Knowledge and training on Open Data within the Public Sector organisations 1.2 Administrative Processes for Open Data 1.3 Key personnel – key responsibilities for curating and publishing Open Data 1.4 Administration strategy for Open Data at high level (OGP goals adoption) 1.5 Incentives schemes for public servants, to promote open data
  • 4. 2. Legal Issues 2.1 A (country – wide) legal framework for Open Data, enforcing administrations to curate and publish 2.2 A (country – wide) guide on legal IPR issues, allowing organisations to pick the correct licensing form
  • 5. 3. Infrastructures 3.1 Cloud infrastructures able to gather, manage and publish Open Data, interoperable with other sources within the country or region 3.2 Metadata schemas and federated controlled vocabularies , for properly categorising information 3.3 Complementary toolsets for performing additional curation tasks (cleaning, linking, visualising) 3.4 Frameworks for assessing data quality and platform usability, providing constant feedback to developers and administrations 3.5 Web services interfaces (API’s) for open data provision in the form of service feeds (from open data to pen services)
  • 6. 4. Citizen and Enterprise Engagement 4.1 A “web 2.0” approach for Open Data, allowing citizens to post, rate, work with datasets and web services 4.2 Incentives schemes for engaging citizens in Open Data usage 4.3 Business models for allowing enterprises to develop add-on services, at a cost 4.4. Specialised, open-data driven startup incubators
  • 7. 5. Research and Education 5.1 Development of university and continuous education curricula on Open Data (administrative, legal, infrastructure, societal engagement issues) 5.2 Development and maintenance of research areas roadmaps on open data, in order to consolidate research efforts and address open issues
  • 8. The Open Data Critical Success Factors Taxonomy An online representation of the Critical Success Factors taxonomy if available at http://mind42.com/mindmap/357dfd65-3839- 4c76-8292-7435574699cc