CA20108 COST Action: A Methodology for Developing FAIR Micrometeorological Networks
Branislava Lalic, Josef Eitzinger, Stevan Savi\'c Ana Firanj Sremac, Michael Scriney, Mark Roantree

TL;DR
This paper details the FAIRNESS COST Action's efforts to develop a comprehensive methodology, infrastructure, and community standards to enhance the FAIR compliance and usability of micrometeorological data across Europe.
Contribution
It introduces a structured inventory, a digital portal, and methodological guidelines for improving data quality and interoperability in micrometeorological networks.
Findings
Created a European inventory of micrometeorological networks
Developed the FAIR Micrometeorological Portal for data access
Produced a beginner-oriented guide and capacity-building programs
Abstract
This article reports the outcomes of the FAIRNESS COST Action (CA20108), a coordinated European initiative aimed at advancing micrometeorological data toward compliance with the FAIR (Findable, Accessible, Interoperable, Reusable) principles. The article presents three core achievements: (i) a structured inventory of urban and rural micrometeorological networks across Europe; (ii) the design and deployment of the FAIR Micrometeorological Portal, providing a digital infrastructure for data discovery, access, and standardized metadata description; and (iii) methodological guidance for quality control, gap detection, and gap filling tailored to the specific characteristics of micrometeorological time series. By providing both technical infrastructure and community-driven standards, the FAIRNESS outputs advance micrometeorological data from isolated datasets into coherent, reusable…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsResearch Data Management Practices · Environmental Monitoring and Data Management · Scientific Computing and Data Management
