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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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Conquering Data in Austria: a Technology Roadmap
Allan Hanbury
Vienna University of Technology, Austria
Helmut Berger
max.recall information systems GmbH
Austrian Funding Programme: ICT of the Future
Conquering Data – Intelligent Systems
Challenges
Roadmap
Lighthouse Projects
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 ofICT of the Future
short term(up to 2015)
mid term(up to 2020)
long term(up to 2025)
Coordination
Data Economy and Open Data
Shared Computing Infrastructure
VSC
ACSC
Austrian Grid I
Austrian Grid IIÖAW
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(up to 2025)
2. Achieve lead positions in competitive markets
3. Establish and extend a lead position as location for research
BuildData-Services Ecosystem 5a: Concept completed
5b: Data-Services Ecosystem materialized
5c: Selected applications implemented
Objectives ofICT of the Future
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(up to 2025)
2. Achieve lead positions in competitive markets
3. Establish and extend a lead position as location for research
BuildData-Services Ecosystem 5a: Concept completed
5b: Data-Services Ecosystem materialized
5c: Selected applications implemented
Objectives ofICT of the Future
DevelopLegal Framework 6: Common legal framework developed
Data-Services Ecosystem Lighthouse
Broad Impact LighthouseData-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(up to 2025)
2. Achieve lead positions in competitive markets
3. Establish and extend a lead position as location for research
BuildData-Services Ecosystem 5a: Concept completed
5b: Data-Services Ecosystem materialized
5c: Selected applications implemented
Objectives ofICT of the Future
DevelopLegal Framework 6: Common legal framework developed
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(up to 2025)
2. Achieve lead positions in competitive markets
3. Establish and extend a lead position as location for research
BuildData-Services Ecosystem
DevelopLegal Framework 6: Common legal framework developed
5a: Concept completed 5c: Selected applications implemented
Objectives ofICT of the Future
Network Stakeholders
7a: National & int’l stakeholder networking initiatives installed
7b: Future Data study completed
Technology
Data Representation
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
BuildData-Services Ecosystem 5a: Concept completed
5b: Data-Services Ecosystem materialized
5c: Selected applications implemented
Objectives ofICT of the Future
DevelopLegal Framework 6: Common legal framework developed
1: Advanced technologies for Data Integration & Fusion developed
AdvanceData Integration and Fusion
Network Stakeholders
7a: National & int’l stakeholder networking initiatives installed
7b: Future Data study completed
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(up to 2025)
2. Achieve lead positions in competitive markets
3. Establish and extend a lead position as location for research
BuildData-Services Ecosystem 5a: Concept completed
5b: Data-Services Ecosystem materialized
5c: Selected applications implemented
Objectives ofICT of the Future
DevelopLegal Framework 6: Common legal framework developed
1: Advanced technologies for Data Integration & Fusion developed
AdvanceData Integration and Fusion
IncreaseAlgorithmic Efficiency
2: Efficiency of data analytics algorithms brought to a new level
MakeInformation Actionable
3: Technologies turning data into actionable information available
AutomateKnowledge 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
Broad Impact LighthouseData-Services Ecosystem
Data-Centred Applications
Application-Specific Lighthouse:
Manufacturing
Application-Specific Lighthouse: Digital
Humanities
Application-Specific Lighthouse: Energy Application-Specific
Lighthouse: Healthcare
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(up to 2025)
2. Achieve lead positions in competitive markets
3. Establish and extend a lead position as location for research
BuildData-Services Ecosystem 5a: Concept completed
5b: Data-Services Ecosystem materialized
5c: Selected applications implemented
Objectives ofICT of the Future
DevelopLegal Framework 6: Common legal framework developed
1: Advanced technologies for Data Integration & Fusion developed
AdvanceData Integration and Fusion
IncreaseAlgorithmic Efficiency
2: Efficiency of data analytics algorithms brought to a new level
MakeInformation Actionable
3: Technologies turning data into actionable information available
AutomateKnowledge Work
4: Intelligent systems for next-generation decision making developed
5b: Data-Services Ecosystem materialized
CreateCompetencies and Resources
8b: Austrian Data Technologies Institute established8a: Education
programmes defined
EnforceGender & 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
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
