# Autism data sharing: Benefits, challenges, and recommendations

**Authors:** Alexandra Lautarescu, Brett Trost, Azadeh Kushki, Bethany Oakley, Síofra Heraty, David Belton, Alison Boyle, Sarah Douglas, Ciara J. Molloy, Rosemary Holt, Madeleine Bloomfield, Florence Campana, Miro Cupak, Erica Stevenson, Julian Tillmann, Christopher Chatham, Evdokia Anagnostou, Dean Hartley, Tony Charman

PMC · DOI: 10.1371/journal.pdig.0001249 · PLOS Digital Health · 2026-03-02

## TL;DR

This paper reviews the benefits and challenges of sharing autism data, emphasizing the need to include autistic people in ethical discussions and suggesting ways to improve responsible data sharing.

## Contribution

The paper co-produces recommendations for ethical data sharing in autism research by incorporating diverse stakeholder perspectives.

## Key findings

- Autism data sharing faces legal, ethical, and practical challenges that require stakeholder collaboration.
- Including autistic people in data sharing discussions is crucial for ethical and responsible practices.
- Recent developments like federated data sharing and community platforms offer new approaches for autism data sharing.

## Abstract

Data sharing is a key element of scientific research, but it is associated with many complex legal, ethical, and practical challenges. These are particularly salient in autism research, where concerns have been raised about researchers’ intentions, research priorities not aligning with those of autistic people, and differing opinions within stakeholder communities as to what priorities should be addressed. This review paper was co-produced through an iterative collaborative process to incorporate diverse viewpoints of stakeholder representatives from academia, charity, industry, the medical community, and the autism community. We discuss the main benefits and challenges of autism data sharing and argue that the perspectives of autistic people must be central to discussions around its ethical and technological aspects. We outline recommendations for ethical and responsible data sharing practices and note key developments within the field, including federated data sharing and community platforms and registries.

Data sharing is becoming more important in scientific research. Larger datasets enable more detailed and accurate information to be analysed and can lead to better collaboration among researchers. In this review, we look at the main benefits and challenges of data sharing in autism research, where people have raised concerns around data sharing. We discuss the importance of including autistic people in all discussions about data sharing. Based on discussions between representatives from different stakeholder communities, we recommend practices that could make data sharing more ethical and responsible. We conclude the review by outlining recent developments in this area and discussing their potential implications for autism data sharing.

## Linked entities

- **Diseases:** autism (MONDO:0005260)

## Full-text entities

- **Diseases:** Neurodevelopmental Disorders (MESH:D002658), intellectual disability (MESH:D008607), neuropsychiatric conditions (MESH:D001523), Autism (MESH:D001321), anxiety (MESH:D001007), repetitive behaviours (MESH:D012090), Autism spectrum disorders (MESH:D000067877), sleep difficulties (MESH:D012893)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

127 references — full list in the complete paper: https://tomesphere.com/paper/PMC12952580/full.md

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Source: https://tomesphere.com/paper/PMC12952580