Deliverable D9.1 presents the EU-ALMPO Data Management Plan developed under WP9. It defines how project data will be collected, processed, stored, protected, shared, and preserved throughout the project lifecycle, in line with Horizon Europe requirements, FAIR principles, GDPR, and ethical AI standards.
Why it matters
The deliverable establishes the framework for responsible and transparent data governance within EU-ALMPO. It supports trustworthy AI development, open science practices, secure data handling, and long-term accessibility of project outputs.
Key information
Objectives
- Define the project’s data governance framework
- Ensure compliance with GDPR and Horizon Europe obligations
- Apply FAIR principles to all relevant datasets
- Establish secure storage and backup procedures
- Support interoperability and long-term data reuse
- Promote ethical and transparent AI-supported policymaking
Main topics covered
- FAIR data management principles
- AI-powered repository governance
- Metadata and interoperability standards
- GDPR compliance and data security
- Ethical aspects of AI and labour market data
- Pilot data collection and processing procedures
- Open access and long-term preservation strategies
Target audience
- Researchers and policy analysts
- Public Employment Services (PES)
- Policymakers and labour market authorities
- AI and data governance experts
- Horizon Europe stakeholders
- Organisations working on ethical AI and open science
Keywords →
Data Governance
FAIR principles | Open science | Metadata | Data interoperability
AI & Ethics
Ethical AI | Transparency | GDPR | Responsible innovation
Labour Market Policy
ALMPs | Policy evaluation | AI-powered repository | Evidence-based policymaking