Evidence map›Paper›PMID 41804275›Full record

ArticleJournal of Parkinson's disease2026

Insights and priorities from the 2025 private funders' Parkinson's disease and related disorders large footprint data interoperability summit.

Leslie C Kirsch, Emily Baxi, Mukta Phatak, Francis Jeanson, Dave Alonso, Cornelis Blauwendraat, Matthew Ch Boersma, Patrick Brannelly, Matthew Hs Clement, Amy Easton and 8 more

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 2026. 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

18 authors.

Leslie C KirschThe Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA.ORCID 0009-0009-5874-1593
Emily BaxiThe Milken Institute, Washington, DC, USA.ORCID 0000-0002-7238-0191
Mukta PhatakThe 10,000 Brains Project, Oakland, CA, USA.ORCID 0009-0003-2126-3723
Francis JeansonCentre for Analytics, The Ontario Brain Institute, Toronto, ON, USA.
Dave AlonsoThe Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA.
Cornelis BlauwendraatCoalition for Aligning Science, Chevy Chase, MD, USA.
Matthew Ch BoersmaFBRI, San Francisco, CA, USA.ORCID 0000-0003-0740-5687
Patrick BrannellyThe 10,000 Brains Project, Oakland, CA, USA.ORCID 0000-0001-6430-954X
Matthew Hs ClementThe Alzheimer's Disease Data Initiative, Kirkland, WA, USA.ORCID 0009-0000-9947-1256
Amy EastonTarget ALS, New York, NY, USA.
Hilary JenkinsHiro Studio, Calgary, Alberta, Canada.
Ritu KapurBridge Analytics, South San Francisco, CA, USA.
Tyler MollenkopfThe Allen Institute for Brain Science, Seattle, WA, USA.
Bryce PickardThe Ontario Brain Institute, Toronto, ON, USA.
Amy RommelRainwater Charitable Foundation, Fort Worth, TX, USA.
Carol L ThompsonThe Allen Institute for Brain Science, Seattle, WA, USA.
Jonathan WhiteHiro Studio, Calgary, Alberta, Canada.
Sonya B DumanisCoalition for Aligning Science, Chevy Chase, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective sharing of large datasets across traditionally siloed research domains has the power to transform conventional research practice dramatically, but has been stymied by persistent barriers to data access and interoperability. The 2025 Private Funders' Parkinson's Disease and Related Disorders (PDRD) Data Interoperability Summit brought together technical leaders from North American-based private funders and research organizations engaged in large-scale neurodegenerative data efforts to address these challenges through the lens of FAIR (Findability, Accessibility, Interoperability, and Reusability) principles. Pre-summit activities included structured interviews, comprehensive data assessments, and preparatory exercises to identify common pain points, systemic gaps, and areas of opportunity across the data ecosystem. During the summit, participants collaboratively developed and prioritized a suite of actionable recommendations, underscoring the urgency and complexity of improving the neurodegenerative data ecosystem. Despite facing significant technical, legal, regulatory, and cultural barriers - ranging from high data management costs and privacy concerns to fragmented governance structures - participants expressed strong alignment on the need for strategic, equitable, and collaborative solutions. Here, we summarize the emerging recommendations from those discussions as well as the high-priority initiatives selected for immediate action across the funding agencies. These efforts mark a critical first step in addressing longstanding barriers and reflect a shared commitment to advancing collaborative data sharing. Continued work in this area promises to accelerate discovery and innovation, with the potential to drive significant breakthroughs in the understanding, diagnosis, and treatment of neurodegenerative diseases.

Indexed as

big datadata interoperabilityFAIR datafindabilityopen data

Identifiers

PMID41804275
PMCPMC13438371

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.