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Open Science Practices in Integrated Assessment Models.

Clàudia Rodés-Bachs1, Jon Sampedro1, Natasha Frilingou2

  • 1Basque Center for Climate Change, Leioa, Basque Country, Spain.

Open Research Europe
|July 17, 2025
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Summary
This summary is machine-generated.

This study introduces an open science protocol for Integrated Assessment Models (IAMs) to enhance data sharing and research integrity. The protocol aims to improve model transparency and reusability, fostering wider adoption in policy-making.

Keywords:
FAIRTRUSTintegrated assessment modelsopen dataopen scienceopen-sourceprotocoltransparency

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Area of Science:

  • Environmental Science
  • Computer Science
  • Policy Analysis

Background:

  • Open science promotes accessible dissemination of scholarly outputs for reuse and integrity.
  • Key principles include open sharing of knowledge among scientists, stakeholders, and the public.

Purpose of the Study:

  • To propose an open science protocol specifically designed for Integrated Assessment Modeling (IAM) teams.
  • To address challenges and barriers faced by IAM teams in adopting open science practices.

Main Methods:

  • Survey insights from IAM teams were used to inform protocol development.
  • The protocol is grounded in the FAIR (Findability, Accessibility, Interoperability, Reusability) and TRUST (Transparency, Responsibility, User focus, Sustainability, Technology) principles.

Main Results:

  • The proposed protocol enhances transparency, accessibility, reliability, reusability, and interoperability of IAM models and results.
  • It facilitates the transformation of model outputs into practical, real-world applications.

Conclusions:

  • The protocol fosters trust and engagement with policymakers, supporting open science adoption in IAMs.
  • A complementary checklist and recommendations for open-source tools simplify workflows and reduce expertise requirements.