Beyond Compliance with the NIH Data-Sharing Mandate
Streamline data management & sharing with tools that help optimize the value of data.
For Informatics Leaders
Data from your organization is a resource that can fuel innovative medical research. To do this, however, data must be Findable, Accessible, Interoperable, and Reusable—and the process to do so must be scalable. Proxmed provides you with the tools to automate FAIRification, customize data sharing, and uphold ownership of precious data and intellectual property.


For Principal Investigators
Proxmed was created by and for researchers to promote reproducibility, compliant collaboration, and data sharing. In addition to helping you cross off "DMS plan" from your to-do list, we can provide you with tools for automating curation, computational pipelines, and other processes to speed up your study.



Proxmed offers three secure data sharing options:

Use our integrated publishing tools to submit data to generalist and domain-specific repositories sponsored by the NIH.

Post qualifying data for nothing through the AWS Open Data Sponsorship Program.

Giving verified partners access while maintaining complete control over your data.
A Launchpad for Collaborative Discovery and Innovation

De-identification that is adjustable and built-in screening mechanisms for missed PHI and PII are two ways to ensure data privacy.

Leverage Proxmed Data Exchange is a collection of pre-curated datasets that we offer.

Simple data harmonization for sharing in accordance with industry standards (such as BIDS) and FAIR Principles





ProxMed empowers us to maximize the value of our current assets through the uniformity of data pipelines across various research projects. Efficiently accessing and collaborating on data becomes a rapid process, bolstered by the assurance that everyone is working with a shared, secure dataset that is continuously updated. This enables our researchers to enhance their productivity in artificial intelligence and collaborative research, minimizing the time spent on data management.
