FAIR Data Infrastructure: The Missing Layer in EU Climate Resilience Policy
Authors/Creators
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1.
LifeWatch ERIC
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2.
GO FAIR Foundation
- 3. Fresh Thoughts Consulting
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4.
Universidad Politécnica de Madrid
- 5. NCSR Demokritos
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6.
National and Kapodistrian University of Athens
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7.
National Centre of Scientific Research "Demokritos"
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8.
Alexander Fleming Biomedical Sciences Research Center
- 9. CODATA (Committee on Data of the International Science Council)
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10.
HES-SO University of Applied Sciences and Arts Western Switzerland
Description
Why FAIR Data Infrastructure is Critical for EU Climate Resilience:
Our Response to the European Commission
The European Commission is preparing a new integrated framework for climate
resilience and risk management, scheduled for adoption in Q4 2026. This framework
aims to drive transformational change to make Europe significantly better prepared
for climate impacts, with ambitious goals including harmonized risk assessments,
common climate scenarios, and coordinated decision-support tools.
But there's a critical gap.
The open public consultation on this framework repeatedly calls for "easier access
to data," "harmonized risk baselines," and "digital tools" - yet nowhere does it
address the foundational data infrastructure needed to make these ambitions
technically feasible.
This is where FAIR2Adapt and ClimateAdapt4EOSC come in.
FAIR2Adapt just answered to his open consultation, highllighting what we see as the missing
layer: FAIR data management and interoperable data infrastructure as structural
prerequisites for climate resilience by design.
The Problem
You cannot have:
- Harmonized climate risk assessments without harmonized metadata and semantic
interoperability - Common scenarios that work across governance levels without machine-readable,
well-documented data - Digital decision-support tools without FAIR-compliant APIs and standardized
vocabularies - Cross-border coordination without structurally interoperable data that can be
found, accessed, and correctly interpreted across administrative systems
The current framework asks stakeholders what information they need - but doesn't
address what must change structurally to make climate data usable, comparable,
reusable, and trustworthy across Europe.
Our Solution
Our position paper presents concrete recommendations to integrate FAIR data infrastructure as a foundational pillar of the EU Climate Resilience Framework:
1. Mandate FAIR data management for all publicly-funded climate risk assessments, adaptation plans, and monitoring data—ensuring datasets are published with standardized metadata, semantic vocabularies, and machine-readable formats.
2. Require Member States to adopt FAIR Implementation Profiles (FIPs) documenting which metadata standards and interoperability specifications they use, creating accountability while respecting national diversity.
3. Integrate climate data with EOSC infrastructure to enable federated access across Member States and avoid duplicative national platforms.
4. Include data FAIRness metrics in monitoring frameworks—measuring metadata quality, cross-border data reuse, and adoption of common standards rather than just data publication.
5. Align with EU Open Data Directive and Data Spaces by building climate resilience infrastructure on existing EU frameworks for data governance and interoperability.
We demonstrate that implementing FAIR principles for climate adaptation is technically feasible through the FAIR2Adapt and ClimateAdapt4EOSC projects, which are developing FAIR Digital Objects (using RO-Crate), semantic frameworks (I-ADOPT), and stakeholder-driven approaches for climate data.
This is not about adding FAIR as a nice-to-have feature—it's about addressing a foundational gap that will determine whether the framework creates coordinated European climate resilience or 27+ incompatible national systems.
To know more, read the full position paper!
Files
position_paper-FAIR2Adapt-CA4EOSC.pdf
Additional details
Additional titles
- Subtitle (English)
- FAIR2Adapt Responds to EU Climate Resilience Framework Consultation