Less friction. More discovery.

Bridge Analytics was created to accelerate the delivery of new therapies for central nervous system (CNS) conditions by eliminating the friction of siloed, fragmented research data. Serving as the data intelligence layer for the CNS Quest ecosystem, we combine expert scientific consultation with the Bridge Analytics Environment—a secure, collaborative workspace built by scientists for scientists. By turning complex data science into actionable insights, we empower teams to make the high-impact decisions that drive discovery as well as therapeutic advances.

Our charge is to address three critical initiative needs:

Unlock CNS Quest data and increase access — Once data is collected, managing long-term storage, maintenance, and access, and ensuring interoperability is often beyond the scope of original funding. As a result, data can languish for lack of engineering resources or ability to manage storage and compute costs, and science slows down.

Increase the impact of CNS Quest data — Connecting AI/ML experts with researchers with deep clinical and biological understanding across CNS Quest initiatives could increase the speed at which therapies make it to people with disease.

Streamline data collection — A fragmented technical solutions ecosystem makes it burdensome to start new data collection initiatives. This adds significantly to study planning timelines, and groups across the CNS Quest ecosystem are replicating each others’ efforts when selecting technical solutions. Because our team works across all initiatives, we lean in to close the loop and ensure advances made in one area are leveraged across the ecosystem.

Bridge’s work supports initiatives in the CNS Quest, for which the target research areas include Parkinson’s disease, autism, bipolar disorder, and psychedelic therapies.

Bridge Analytics will cover storage and compute costs for datasets in the Bridge Analytics Environment. To ensure fair access for everyone, Bridge will actively monitor usage to ensure that resources are being used in a cost-conscious, responsible manner. We may limit, suspend, or revoke access where use is determined to be excessive, wasteful, or accidental.

The Bridge Analytics Environment is built as a controlled-access research platform for the secure handling of de-identified and/or pseudonymized research data, including sensitive biomedical, genomic, clinical, and related research datasets. Bridge protects research data through a layered set of technical, administrative, and organizational measures designed to preserve confidentiality, integrity, availability, and participant privacy. Bridge’s security program includes encryption of data at rest and in transit, strict identity and access management controls, multifactor authentication, role-based and least-privilege access, continuous monitoring, and vulnerability management with ISO/IEC 27001 controls, and where applicable, HIPAA Security Rule and GDPR-aligned compliance frameworks.

Currently, the Bridge Analytics Environment is only accepting deidentified or pseudonymized data. In the future, if the need arises to accept identifiable data, Bridge will update its compliance framework accordingly.

It is the responsibility of the data provider to ensure the data is deidentified and/or pseudonymized prior to transfer to Bridge. The data provider may perform this themselves or delegate this work to a Data Coordinating Center.