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Neurology datasets
Neurology datasets for Alzheimer's disease, multiple sclerosis, migraine and myasthenia gravis
Neurological diseases unfold over years, so the questions that matter — progression, relapse, treatment response — need longitudinal data. BCONZ provides governed, de-identified US neurology datasets for Alzheimer's disease and related dementias, multiple sclerosis, migraine and myasthenia gravis.
Not a free download. These are governed, research-grade datasets licensed for a defined purpose after a feasibility review — built for studies and products that public datasets cannot support.
Research uses
What neurology datasets are used for
Real-world treatment effectiveness
Outcomes and persistence on disease-modifying therapies in MS, preventive treatments in migraine, and novel therapies in myasthenia gravis.
Disease progression and natural history
Cognitive decline and care pathways in Alzheimer's disease; relapse and disability trajectories in MS.
Rare disease evidence
Myasthenia gravis cohorts for natural history and external comparator work, where a single centre rarely has enough patients.
Model development and validation
Risk and progression models validated on real-world populations beyond trial cohorts.
How access works
- Tell us your research question through the research data request form.
- We confirm feasibility: whether a suitable cohort exists, its size, follow-up and available data types.
- Governance review and a data use agreement define the permitted purpose.
- The de-identified dataset is prepared, quality-reviewed and delivered securely.
Hold neurology data yourself? A healthcare data readiness assessment shows what it can support, and DIA shows who has published a need for it.
Frequently asked questions
Neurology datasets: common questions
What are the neurology patient numbers based on?
Figures are approximate and rounded down. They count patients in de-identified US EMR/EHR data with a recorded diagnosis in the area; a patient can appear in more than one indication. The cohort for a specific study is confirmed during feasibility.
How are these neurology datasets different from public datasets on Kaggle or GitHub?
Public datasets are valuable for learning and benchmarking, but they are usually small, single-source, fixed snapshots with limited clinical context and no route to more data. BCONZ datasets are research-grade, de-identified and licensed through governed partnerships, with longitudinal records and a feasibility step to confirm the cohort fits your study before any agreement.
Is this a free dataset download?
No. Access is licensed for a defined research or development purpose under a data use agreement, after a feasibility review. Tell us what you need through the research data request form.
Where does the data come from?
From US healthcare data partners, and from partner networks in other regions where a study needs them. Data is de-identified before research use and stays governed by the partner's agreement.