QHarbor is a data storage, management, and visualization platform for physics researchers and other measurement-focused scientists. It helps research teams centralize, organize, and access measurement data in a secure, structured repository designed to support scientific data-management best practices and regulatory compliance. The platform can run on local servers or in the cloud, while a synchronization agent monitors folders and databases, detects datasets, converts supported files to netCDF-4/HDF5, and uploads them to a central server.

It supports data from frameworks such as QCoDeS, Labber, and Quantify, as well as custom folder structures, without requiring teams to change their existing measurement workflows. QHarbor’s DataQruiser desktop application and Qdrive Python package provide tools for uploading, organizing, querying, and visualizing datasets. Features include unique identifiers, searchable tags and attributes, file versioning, project-based scopes, configurable data schemas, and access permissions for users or groups.

Institutional single sign-on and on-premises deployment behind a VPN support controlled access. QHarbor aims to make research data easier to find, share, and reproduce