# Data needs for accelerating research at the intersection of climate stressors and health: an online survey

**Authors:** Emma L Gause, Keith R Spangler, Heather Clifford, Michaela Hoenig, Joshua S Cetron, Zachary Popp, Michelle Audirac, Julie Goldman, Amruta Nori-Sarma, Francesca Dominici, Gregory A Wellenius, Danielle Braun, Kevin Lane

PMC · DOI: 10.1088/2752-5309/ae44c0 · Environmental Research, Health · 2026-02-24

## TL;DR

This study surveyed climate and health researchers to identify barriers to data sharing and found that analysis-ready datasets and educational resources are most needed to accelerate research.

## Contribution

The paper presents survey findings from over 1,000 researchers on data and code sharing challenges in climate and health research.

## Key findings

- Analysis-ready datasets and educational materials are the most desired resources for researchers.
- Personal constraints like lack of time are major barriers to sharing data or code.
- Investing in data infrastructure and collaboration is seen as a way to accelerate research.

## Abstract

Assessing the health impacts of climate stressors is challenging due to the inherently interdisciplinary nature of the effort and the complexity of data, methods, and software involved. We surveyed researchers who published in the climate and health space to identify major barriers to using and sharing climate and health data and code resources. Participants were identified using a PubMed query to return articles related to research in the field of climate and health. Using the PubMed API, we scraped email addresses for authors of matching published articles. 9195 authors were emailed a link to the online survey instrument, which took approximately 7 min to complete. We had an 11.8% response rate resulting in 1041 useable responses. Respondents were from over 75 different countries with only 16.4% working with US populations and were evenly represented between early, mid, and established career. The most desired resources were analysis-ready datasets and educational materials on data management and analysis. Personal constraints such as lack of time were a major barrier to sharing data or code. Our survey results suggest that investment in data creation as a professional service, knowledge sharing and collaboration, and research infrastructure will be enthusiastically adopted and help to accelerate the pace of research to practice.

## Full-text entities

- **Diseases:** Aging (MESH:D019588), deaths (MESH:D003643), undernutrition (MESH:D044342), malaria (MESH:D008288), infectious disease (MESH:D003141), zoonotic (MESH:D015047), -borne diseases (MESH:D017282), diarrhea (MESH:D003967)
- **Species:** Homo sapiens (human, species) [taxon 9606], HC [taxon 11103]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12930392/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12930392/full.md

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Source: https://tomesphere.com/paper/PMC12930392