Autism data sharing: Benefits, challenges, and recommendations
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.
Authors
- Dean M. Hartley (ORCID: https://orcid.org/0000-0003-0087-2258)
- Brett Trost (ORCID: https://orcid.org/0000-0003-4863-7273)
- Miro Cupak
- Síofra Heraty (ORCID: https://orcid.org/0000-0001-8023-367X)
- Ciara J. Molloy (ORCID: https://orcid.org/0000-0002-6178-8861)
- Fabio Campana
- David Belton
- Madeleine Bloomfield (ORCID: https://orcid.org/0009-0008-7377-3924)
- Alison Boyle
- Azadeh Kushki
- T. P. Charman
- Evdokia Anagnostou
- Sarah Douglas
- Erica Stevenson
- Christopher Chatham
- Julian Tillmann
- Rosemary Holt
- Alexandra Lautarescu
- Bethany Oakley
Institutions
- Autism Speaks (US)
- Roche (Switzerland) (CH)
- Institut Pasteur (FR)
- King's College London (GB)
- University of Toronto (CA)
- Trinity College Dublin (IE)
- University of Cambridge (GB)
- Hospital for Sick Children (CA)
- Holland Bloorview Kids Rehabilitation Hospital (CA)
- Bridge University (SS)
- Ontario Stroke Network (CA)
- Birkbeck, University of London (GB)
Publication Details
- Journal
- PLOS Digital Health
- Published
- 2026-03-02
- DOI
- https://doi.org/10.1371/journal.pdig.0001249
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00