Work

Open Science Practices in Integrated Assessment Models

Year: 2025

Type: article

Abstract: Background: Open science emphasizes the free and accessible dissemination of scholarly outputs to a wide audience, including scientists, stakeholders, and the general public. Its core principle is the open sharing of knowledge to enable reuse, replication, and uphold research integrity. Methods: Using insights from a survey designed to explore the open science practices within integrated assessment modeling (IAM) teams, as well as the challenges and barriers they face, we propose an open science protocol tailored specifically to the needs of IAMs. Results: The proposed protocol improves the transparency, accessibility, reliability, reusability, and interoperability of IAM models and results. Grounded in the findability, accessibility, interoperability, and reusability (FAIR) and transparency, responsibility, user focus, sustainability, and technology (TRUST) principles, it supports the transformation of models' outputs into real-world applications. Conclusions: By fostering enhanced trust and engagement from policymakers, this protocol supports the broader adoption of open science in IAMs. It is complemented by a checklist and includes recommendations for open-source platforms and tools, simplifying workflows and minimizing the need for specialized expertise.

Source: Open Research Europe

DOI: 10.12688/openreseurope.18824.2

Authors: Clàudia Rodés-Bachs, Jon Sampedro, Natasha Frilingou, Francesco Gardumi, Camilla Lo Giudice

Institutions: Basque Centre for Climate Change, National Technical University of Athens, KTH Royal Institute of Technology

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $841

Funders: European Commission, HORIZON EUROPE Framework Programme