Evidence map›Paper›PMID 40673196›Full record

ArticleOpen research Europe2025

Open Science Practices in Integrated Assessment Models.

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

Abstract read
In one paragraph

Article in Open research Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Clàudia Rodés-BachsBasque Center for Climate Change, Leioa, Basque Country, Spain.ORCID https://orcid.org/0000-0001-6696-7685
Jon SampedroBasque Center for Climate Change, Leioa, Basque Country, Spain.ORCID https://orcid.org/0000-0002-2277-1530
Natasha FrilingouEnergy Policy Unit, School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Politechniou 9, 157 80 Athens, Greece.
Francesco GardumiKTH Royal Institute of Technology, Brinellvägen 68, 114 28 Stockholm, Stockholm County, Sweden.
Camilla Lo GiudiceKTH Royal Institute of Technology, Brinellvägen 68, 114 28 Stockholm, Stockholm County, Sweden.ORCID https://orcid.org/0009-0002-8895-6746

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

FAIRintegrated assessment modelsopen dataopen scienceopen-sourceprotocoltransparencyTRUST

Identifiers

PMID40673196
PMCPMC12264473

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.