ReviewHuman brain mapping2022
The spectrum of data sharing policies in neuroimaging data repositories.
Review in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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.
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.
Who cites it
35 citing papers in PubMed.
- Reconciling global collaboration and data sovereignty in neuroscience.Nature neuroscience · 2026Review
- Centralized Review of Alzheimer's Disease and Related Dementias Biomedical Repositories and Computational Methods.Bioengineering (Basel, Switzerland) · 2026Review
- Autism data sharing: Benefits, challenges, and recommendations.PLOS digital health · 2026Review
- Central Nervous System Involvement in Acute Myeloid Leukemia: From Pathophysiology to Neuroradiologic Features and the Emerging Role of Artificial Intelligence.Journal of clinical medicine · 2026Review
- Ethical Governance Strategies for the Responsible Innovation of Neurotechnologies: A Scoping Review.Journal of bioethical inquiry · 2025Article
- Article
- An Open, Fully-processed, Longitudinal Data Resource to Study Brain Development and Transdiagnostic Executive Function.bioRxiv : the preprint server for biology · 2025Article
- Privacy in perspective: research participants' priorities and concerns related to sharing data generated in human neuroscience studies.Neuroethics · 2025Article
- Spectral normative modeling of brain structure.medRxiv : the preprint server for health sciences · 2025Article
- Can I have your data? Recommendations and practical tips for sharing neuroimaging data upon a direct personal request.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- How will developmental neuroimaging contribute to the prediction of neurodevelopmental or psychiatric disorders? Challenges and opportunities.Developmental cognitive neuroscience · 2025Article
- Application of AI in the identification of gastrointestinal stromal tumors: a comprehensive analysis based on pathological, radiological, and genetic variation features.Frontiers in genetics · 2025Review
- The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities.eLife · 2024Article
- Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research.Insights into imaging · 2024Review
- Reduced Cervical Muscle Fat Infiltrate Is Associated with Self-Reported Recovery from Chronic Idiopathic Neck Pain Over Six Months: A Magnetic Resonance Imaging Longitudinal Cohort Study.Journal of clinical medicine · 2024Article
- The future of data analysis is now: Integrating generative AI in neuroimaging methods development.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Demystifying the likelihood of reidentification in neuroimaging data: A technical and regulatory analysis.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Establishing a Pregnancy Lyme Disease Biobank.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Data sharing in neuroimaging: experiences from the BIDS project.Nature reviews. Neuroscience · 2023Article
- Ethics Along the Continuum of Research Involving Persons with Disorders of Consciousness.Neurocritical care · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Sharing data is a scientific imperative that accelerates scientific discoveries, reinforces open science inquiry, and allows for efficient use of public investment and research resources. Considering these benefits, data sharing has been widely promoted in diverse fields and neuroscience has been no exception to this movement. For all its promise, however, the sharing of human neuroimaging data raises critical ethical and legal issues, such as data privacy. Recently, the heightened risks to data privacy posed by the rapid advances in artificial intelligence and machine learning techniques have made data sharing more challenging; the regulatory landscape around data sharing has also been evolving rapidly. Here we present an in-depth ethical and regulatory analysis that examines how neuroimaging data are currently shared against the backdrop of the relevant regulations and policies in the United States and how advanced software tools and algorithms might undermine subjects' privacy in neuroimaging data sharing. The implications of these novel technological threats to privacy in neuroimaging data sharing practices and policies will also be discussed. We then conclude with a proposal for a legal prohibition against malicious use of neuroscience data as a regulatory mechanism to address privacy risks associated with the data while maximizing the benefits of data sharing and open science practice in the field of neuroscience.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.