The document outlines a technology roadmap for conquering data in Austria with the objectives of developing lead technologies, achieving lead positions in competitive markets, and establishing Austria as a leader in research through 2025. It details challenges and outlines goals in areas such as building a data-services ecosystem, advancing data integration/fusion technologies, increasing algorithmic efficiency, automating knowledge work, developing legal frameworks, and ensuring qualified human resources through education and diversity initiatives. The roadmap is coordinated among network stakeholders and involves establishing several lighthouse projects in key application domains like manufacturing, digital humanities, energy, and healthcare.

1. Conquering Data in Austria:
a Technology Roadmap
Allan Hanbury
Vienna University of Technology, Austria
Helmut Berger
max.recall information systems GmbH

2. Austrian Funding Programme: ICT of the Future
Conquering Data –
Intelligent Systems

4. http://conqueringdata.at

5. Challenges
Roadmap
Lighthouse Projects

6. 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)

7. Coordination

8. Data Economy and Open Data

9. Shared Computing Infrastructure
VSC
ACSC
Austrian Grid I
Austrian Grid II
ÖAW
ZAMG

10. Data Curation and Preservation

11. Evaluation

12. 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

13. Privacy and Security

14. Data Ownership

15. 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

16. Broad Impact Lighthouse
Data-Services Ecosystem
Data-Centred Applications

17. Data-Services Ecosystem
Austrian Open Cloud
Data-Services Biotopes
Data Application Incubator
Data Curation

18. Austrian Open Cloud
Model: Massachusetts Open Cloud
http://gcn.com/articles/2013/12/16/massachusetts-open-cloud.aspx

19. Data-Services Biotope
Model: CloudEO

20. Data Application Incubator
Model: Open Data Institute

21. Data Curation
Model: Data Archiving and Networked
Services (DANS), The Netherlands

22. 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

23. 23
Network Stakeholders
https://projects.cs.dal.ca/projectx/

24. 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

25. Technology

26. Data Representation

27. 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

28. Techniques, Methods and Algorithms
Algorithmic
Efficiency
Actionable
Information
Knowledge
Work

29. 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

30. 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

31. Human Resources

32. Qualified Personnel,
Gender and Diversity

33. 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

34. 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

35. http://conqueringdata.at