National Data Strategy
Austria · Strategy · Federal Chancellery of Austria (Bundeskanzleramt)
Our summary
Austria's data strategy promotes responsible data use to benefit society, strengthen citizen data sovereignty, and enable innovation. It applies across government, business, science and civil society, with 45 measures organized around three goals: developing sustainable data infrastructure, enabling responsible data use in public and private sectors, and building data literacy across the population.
Written by the Index in our own words. It is not legal advice; the official text is the authority.
Inside this policy
Every section of this policy in order. Our notes summarise each one in plain language and do not quote the official text, which is the authority.
Drafted by the Index An automated summary of the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.
6 sections
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Vision
Austria's data strategy promotes accountable data use for public benefit, strengthens individual data sovereignty, and enables innovation, sustainability and technological independence with people at the centre.
Ziele
The strategy aims to enable secure and fair data access, strengthen data literacy, encourage data-driven innovation, and create public value through collaboration between government, business and academia. All ministries and stakeholders from science, business and civil society must participate in implementation. The strategy recognizes data as crucial for innovation and growth, builds on prior digital and AI strategies, prioritizes responsible and lawful data handling with privacy and security safeguards, and adapts to market and technology developments.
Zielsetzungen der Datenstrategie
The strategy pursues three core objectives through 45 measures coordinated by an inter-ministerial stakeholder group led by the Federal Chancellery. These focus on advancing shared data use and infrastructure, improving public data governance and accessibility, and fostering responsible data handling and widespread data literacy across government and society.
Breite Einbindung bei der Entwicklung der Datenstrategie
The strategy was developed through wide consultation including workshops with public administration, business and civil society actors, scientific support from a university, coordination with federal ministries, and a public online consultation. This inclusive approach ensured that perspectives and needs of all stakeholders were considered before the strategy was published.
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Controls
What this policy requires, forbids, grants or penalises, one control at a time and in our own words. Each control links to the official text, which is the authority. This is not legal advice.
Drafted by the Index Drafted automatically from the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.
Themes covered 5 of 35
Choose a theme to see only its controls. About the themes
Risk and scope 1 of 4
- Risk classification, not covered
- Prohibited practices, not covered
- Impact assessment, not covered
Data and privacy 1 of 4
- Data subject rights and consent, not covered
- Cross-border data transfer, not covered
- Copyright and training data, not covered
Transparency and records 0 of 4
- Transparency and disclosure to users, not covered
- Labelling of synthetic content, not covered
- Technical documentation, not covered
- Record keeping and logging, not covered
Technical safeguards 1 of 4
- Human oversight, not covered
- Bias and non-discrimination, not covered
- Testing and evaluation, not covered
Assurance and lifecycle 0 of 4
- Conformity assessment and certification, not covered
- Registration and notification, not covered
- Incident and breach reporting, not covered
- Post-market monitoring and corrective action, not covered
Rights and protected groups 0 of 4
- Automated decision-making rights, not covered
- Children and vulnerable groups, not covered
- Biometric identification and surveillance, not covered
- Whistleblowing, complaints and redress, not covered
Roles and organisation 2 of 6
- Supply chain and provider-deployer duties, not covered
- General purpose and foundation models, not covered
- Public sector use and procurement, not covered
- Innovation support and sandboxes, not covered
Enforcement and sectors 0 of 5
- Enforcement, penalties and regulators, not covered
- Sector rules: health, not covered
- Sector rules: finance and insurance, not covered
- Sector rules: employment, not covered
- Sector rules: education, not covered
The full list of controls could not be loaded, so only the first 11 are shown.
Ziele 3 controls
- ObligationApplies to: Public authorityDrafted by the Index
All ministries and stakeholders from science, business and civil society should participate actively in implementing the strategy's measures.
- ObligationApplies to: Public authorityDrafted by the Index
The government should prioritize responsible and lawful handling of data with privacy and security safeguards at the centre of the strategy.
- ObligationApplies to: Public authorityDrafted by the Index
The strategy should adapt to market and technology developments as an adaptive approach.
Zielsetzungen der Datenstrategie 8 controls
- ObligationApplies to: Public authorityDrafted by the Index
An inter-ministerial stakeholder group led by the Federal Chancellery should coordinate the 45 measures across science, business and civil society to achieve three core objectives.
- ObligationApplies to: Public authorityDrafted by the Index
The government should support and promote projects and innovative technologies that enable shared data use and exchange.
- ObligationApplies to: Public authorityDrafted by the Index
The government should invest in trustworthy data infrastructure and cloud solutions.
- ObligationApplies to: Public authorityDrafted by the Index
The government should strengthen technical and semantic interoperability and support the development of technical tools and services.
- ObligationApplies to: Public authorityDrafted by the Index
The government should develop and implement mechanisms for improved data governance and increase accessibility and reuse of public sector data.
- ObligationApplies to: Public authorityDrafted by the Index
The government should improve cataloguing, licensing and discoverability of datasets and enhance data quality.
- ObligationApplies to: Public authorityDrafted by the Index
The government should drive a values shift in data handling and promote responsible reuse and exploitation of data.
- ObligationApplies to: Public authorityDrafted by the Index
The government should strengthen data literacy competencies and knowledge among the population and public administration.
Change history
No changes recorded since we began monitoring this policy.