edf2014: allan hanbury, senior researcher, vienna university of technology, austria conquering data...

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

http://conqueringdata.at

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

http://conqueringdata.at