✅ Invest in Knowledge, Research & Learning Checklist
Purpose: To ensure that EU-funded media and information-integrity programmes are grounded in evidence, generate learning for all stakeholders, and strengthen both donor accountability and media sustainability. Apply this checklist during programme design, evaluation, and coordination stages.
🧩 1. Evidence & Relevance Assessment
Area
Key Questions
Action Points
Policy Alignment
Is programming informed by recent, independent research on media ecosystems?
Map existing studies before commissioning new ones; avoid duplication.
Learning Culture
Do DGs, Delegations, and agencies share lessons across portfolios?
Create inter-DG repositories and joint evaluation briefs.
Local Knowledge
Are local researchers, universities, or observatories engaged?
Budget for local research partnerships and participatory evaluations.
Data Protection
Are data collection and sharing practices safe for journalists and sources?
Use anonymisation, encrypted storage, and consent-based data collection.
💡 Tip: Treat learning as a two-way process — local partners generate insight, not just data.
🛠️ 2. Learning & Monitoring Frameworks
Dimension
Minimum Standard
Enhanced Practice
Monitoring & Evaluation (MEL)
Basic indicators cover outputs and reach.
Use outcome-oriented MEL capturing influence, resilience, and trust.
Knowledge Sharing
Lessons stored within project files.
Systematic cross-programme learning notes published annually.
Peer Exchange
Occasional ad-hoc partner meetings.
Structured peer-learning networks across projects and regions.
Institutional Memory
Reports archived individually.
Centralised repository across DGs and Delegations to prevent loss after staff turnover.
💡 Tip: Pair quantitative indicators with qualitative insights – stories of change, audience trust, and institutional growth.
🔄 3. Coordination & Access to Knowledge
Area
Good Practice
Enhanced Practice
Across DGs
Share evaluations and research internally.
Joint MEL frameworks and pooled studies across DG CONNECT, JUST, INTPA, NEAR.
Field Level
Delegations host knowledge sessions with partners.
Regional learning hubs with local academia and CSOs.
Transparency
Publish non-sensitive findings in open-access form.
Translate and disseminate summaries in local languages for media partners.
Member States
Exchange data via joint EU–MS coordination groups.
Integrate national studies into EU-wide evidence base.
💡 Tip: Coordination saves resources and builds trust — share, don’t silo.
🧮 4. Evaluation & Accountability
Focus Area
Key Actions
Outcome
Evaluation Design
Include learning objectives and “why/how” questions.
Evaluations produce actionable lessons, not just scores.
Independent Review
Use external reviewers with local expertise.
Credible, context-sensitive findings.
Dissemination
Share synthesis briefs with stakeholders.
Improved policy and programme design across DGs and Delegations.
Archiving
Store evaluations in searchable, long-term databases.
Institutional memory preserved beyond individual staff rotations.
💡 Tip: Evaluation isn’t compliance — it’s an investment in smarter support.
📰 5. Knowledge for Media Partners
Objective
Minimum Safeguard
Enhanced Practice
Access to Findings
Partners receive project-specific feedback.
Findings shared in accessible, non-technical formats with all participants.
Capacity to Use Data
Training included in grant activities.
Fund newsroom data analysis and audience-research tools.
Ethical Data Use
GDPR-compliant storage required.
Joint development of safe data protocols and consent frameworks.
💡 Reminder: Media are not data-providers —they are co-producers of knowledge. Donors should return insights in usable form to strengthen editorial and business decision-making.
✅ Cross-cutting “Knowledge & Learning” checks (apply to all actors):
Embed learning deliverables in every grant (contractual requirement for reflection notes or learning sessions).
Budget for research translation and dissemination.
Prioritise local authorship and peer review.
Use secure data handling protocols aligned with journalist safety standards.
Encourage collaboration between media, universities, and think-tanks to strengthen evidence ecosystems.
Treat evaluation findings as public goods that benefit both donors and media.
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