Conquering Data in Austria:
a Technology Roadmap
Allan Hanbury
Vienna University of Technology, Austria
Helmut Berger
max....
Austrian Funding Programme: ICT of the Future
Conquering Data –
Intelligent Systems
http://conqueringdata.at
Challenges
Roadmap
Lighthouse Projects
1. Develop lead
technologies
4. Produce highly
qualified personnel
2. Achieve lead positions
in competitive markets
3. Est...
Coordination
Data Economy and Open Data
Shared Computing Infrastructure
VSC
ACSC
Austrian Grid I
Austrian Grid II
ÖAW
ZAMG
Data Curation and Preservation
Evaluation
4. Produce highly
qualified personnel
1. Develop lead
technologies
short term
(up to 2015)
mid term
(up to 2020)
long term...
Privacy and Security
Data Ownership
4. Produce highly
qualified personnel
1. Develop lead
technologies
short term
(up to 2015)
mid term
(up to 2020)
long term...
Broad Impact Lighthouse
Data-Services Ecosystem
Data-Centred Applications
Data-Services Ecosystem
Austrian Open Cloud
Data-Services Biotopes
Data Application Incubator
Data Curation
Austrian Open Cloud
Model: Massachusetts Open Cloud
http://gcn.com/articles/2013/12/16/massachusetts-open-cloud.aspx
Data-Services Biotope
Model: CloudEO
Data Application Incubator
Model: Open Data Institute
Data Curation
Model: Data Archiving and Networked
Services (DANS), The Netherlands
4. Produce highly
qualified personnel
1. Develop lead
technologies
short term
(up to 2015)
mid term
(up to 2020)
long term...
23
Network Stakeholders
https://projects.cs.dal.ca/projectx/
4. Produce highly
qualified personnel
1. Develop lead
technologies
short term
(up to 2015)
mid term
(up to 2020)
long term...
Technology
Data Representation
4. Produce highly
qualified personnel
1. Develop lead
technologies
short term
(up to 2015)
mid term
(up to 2020)
long term...
Techniques, Methods and Algorithms
Algorithmic
Efficiency
Actionable
Information
Knowledge
Work
4. Produce highly
qualified personnel
1. Develop lead
technologies
short term
(up to 2015)
mid term
(up to 2020)
long term...
Broad Impact Lighthouse
Data-Services Ecosystem
Data-Centred
Applications
Application-Specific
Lighthouse:
Manufacturing
A...
Human Resources
Qualified Personnel,
Gender and Diversity
4. Produce highly
qualified personnel
1. Develop lead
technologies
short term
(up to 2015)
mid term
(up to 2020)
long term...
Conclusion
 Coordination
– Network Stakeholders
– Data-Services Ecosystem
– Legal framework
 Technology
– Data Integrati...
http://conqueringdata.at
EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria Conquering Data in Austria: a technolo...
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EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria Conquering Data in Austria: a technology roadmap

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Selected Talk by Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Conquering Data in Austria: a technology roadmap

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EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria Conquering Data in Austria: a technology roadmap

  1. 1. Conquering Data in Austria: a Technology Roadmap Allan Hanbury Vienna University of Technology, Austria Helmut Berger max.recall information systems GmbH
  2. 2. Austrian Funding Programme: ICT of the Future Conquering Data – Intelligent Systems
  3. 3. http://conqueringdata.at
  4. 4. Challenges Roadmap Lighthouse Projects
  5. 5. 1. Develop lead technologies 4. Produce highly qualified personnel 2. Achieve lead positions in competitive markets 3. Establish and extend a lead position as location for research Objectives of ICT of the Future short term (up to 2015) mid term (up to 2020) long term (up to 2025)
  6. 6. Coordination
  7. 7. Data Economy and Open Data
  8. 8. Shared Computing Infrastructure VSC ACSC Austrian Grid I Austrian Grid II ÖAW ZAMG
  9. 9. Data Curation and Preservation
  10. 10. Evaluation
  11. 11. 4. Produce highly qualified personnel 1. Develop lead technologies short term (up to 2015) mid term (up to 2020) long term (up to 2025) 2. Achieve lead positions in competitive markets 3. Establish and extend a lead position as location for research Build Data-Services Ecosystem 5a: Concept completed 5b: Data-Services Ecosystem materialized 5c: Selected applications implemented Objectives of ICT of the Future
  12. 12. Privacy and Security
  13. 13. Data Ownership
  14. 14. 4. Produce highly qualified personnel 1. Develop lead technologies short term (up to 2015) mid term (up to 2020) long term (up to 2025) 2. Achieve lead positions in competitive markets 3. Establish and extend a lead position as location for research Build Data-Services Ecosystem 5a: Concept completed 5b: Data-Services Ecosystem materialized 5c: Selected applications implemented Objectives of ICT of the Future Develop Legal Framework 6: Common legal framework developed Data-Services Ecosystem Lighthouse
  15. 15. Broad Impact Lighthouse Data-Services Ecosystem Data-Centred Applications
  16. 16. Data-Services Ecosystem Austrian Open Cloud Data-Services Biotopes Data Application Incubator Data Curation
  17. 17. Austrian Open Cloud Model: Massachusetts Open Cloud http://gcn.com/articles/2013/12/16/massachusetts-open-cloud.aspx
  18. 18. Data-Services Biotope Model: CloudEO
  19. 19. Data Application Incubator Model: Open Data Institute
  20. 20. Data Curation Model: Data Archiving and Networked Services (DANS), The Netherlands
  21. 21. 4. Produce highly qualified personnel 1. Develop lead technologies short term (up to 2015) mid term (up to 2020) long term (up to 2025) 2. Achieve lead positions in competitive markets 3. Establish and extend a lead position as location for research Build Data-Services Ecosystem 5a: Concept completed 5b: Data-Services Ecosystem materialized 5c: Selected applications implemented Objectives of ICT of the Future Develop Legal Framework 6: Common legal framework developed
  22. 22. 23 Network Stakeholders https://projects.cs.dal.ca/projectx/
  23. 23. 4. Produce highly qualified personnel 1. Develop lead technologies short term (up to 2015) mid term (up to 2020) long term (up to 2025) 2. Achieve lead positions in competitive markets 3. Establish and extend a lead position as location for research Build Data-Services Ecosystem Develop Legal Framework 6: Common legal framework developed 5a: Concept completed 5c: Selected applications implemented Objectives of ICT of the Future Network Stakeholders 7a: National & int’l stakeholder networking initiatives installed 7b: Future Data study completed
  24. 24. Technology
  25. 25. Data Representation
  26. 26. 4. Produce highly qualified personnel 1. Develop lead technologies short term (up to 2015) mid term (up to 2020) long term (up to 2025) 2. Achieve lead positions in competitive markets 3. Establish and extend a lead position as location for research Build Data-Services Ecosystem 5a: Concept completed 5b: Data-Services Ecosystem materialized 5c: Selected applications implemented Objectives of ICT of the Future Develop Legal Framework 6: Common legal framework developed 1: Advanced technologies for Data Integration & Fusion developed Advance Data Integration and Fusion Network Stakeholders 7a: National & int’l stakeholder networking initiatives installed 7b: Future Data study completed
  27. 27. Techniques, Methods and Algorithms Algorithmic Efficiency Actionable Information Knowledge Work
  28. 28. 4. Produce highly qualified personnel 1. Develop lead technologies short term (up to 2015) mid term (up to 2020) long term (up to 2025) 2. Achieve lead positions in competitive markets 3. Establish and extend a lead position as location for research Build Data-Services Ecosystem 5a: Concept completed 5b: Data-Services Ecosystem materialized 5c: Selected applications implemented Objectives of ICT of the Future Develop Legal Framework 6: Common legal framework developed 1: Advanced technologies for Data Integration & Fusion developed Advance Data Integration and Fusion Increase Algorithmic Efficiency 2: Efficiency of data analytics algorithms brought to a new level Make Information Actionable 3: Technologies turning data into actionable information available Automate Knowledge Work 4: Intelligent systems for next- generation decision making developed Network Stakeholders 7a: National & int’l stakeholder networking initiatives installed 7b: Future Data study completed
  29. 29. Broad Impact Lighthouse Data-Services Ecosystem Data-Centred Applications Application-Specific Lighthouse: Manufacturing Application-Specific Lighthouse: Digital Humanities Application-Specific Lighthouse: Energy Application-Specific Lighthouse: Healthcare
  30. 30. Human Resources
  31. 31. Qualified Personnel, Gender and Diversity
  32. 32. 4. Produce highly qualified personnel 1. Develop lead technologies short term (up to 2015) mid term (up to 2020) long term (up to 2025) 2. Achieve lead positions in competitive markets 3. Establish and extend a lead position as location for research Build Data-Services Ecosystem 5a: Concept completed 5b: Data-Services Ecosystem materialized 5c: Selected applications implemented Objectives of ICT of the Future Develop Legal Framework 6: Common legal framework developed 1: Advanced technologies for Data Integration & Fusion developed Advance Data Integration and Fusion Increase Algorithmic Efficiency 2: Efficiency of data analytics algorithms brought to a new level Make Information Actionable 3: Technologies turning data into actionable information available Automate Knowledge Work 4: Intelligent systems for next- generation decision making developed 5b: Data-Services Ecosystem materialized Create Competencies and Resources 8b: Austrian Data Technologies Institute established8a: Education programmes defined Enforce Gender & Diversity Measures 9: Measures enforcing gender awareness in Data Analytics implemented Network Stakeholders 7a: National & int’l stakeholder networking initiatives installed 7b: Future Data study completed
  33. 33. Conclusion  Coordination – Network Stakeholders – Data-Services Ecosystem – Legal framework  Technology – Data Integration and Fusion – Algorithmic Efficiency – Actionable Information – Knowledge work  Human Resources – Competences and Resources – Gender and Diversity
  34. 34. http://conqueringdata.at

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