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QHarbor

Acquired

QHarbor provides an on‑premises platform for securely storing and managing large volumes of experimental measurement data. It organizes files into hierarchical scopes with UUIDs, supports custom metadata schemas, versioning, and integrates institutional SSO for controlled collaborative access, while offering web tools for fast search and visualization.

New York, United StatesFounded 20032.1K50K+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Physics researchers often generate large volumes of measurement data across multiple experiments and instruments, leading to fragmented storage, inconsistent metadata, and difficulty locating or reproducing results. Without a centralized, secure repository, data can be lost, duplicated, or remain inaccessible to collaborators.

Solution

QHarbor offers a secure, on‑premises data storage platform that centralizes measurement files while preserving existing laboratory workflows. Data are organized into hierarchical scopes and datasets, each identified by a UUID and enriched with user‑defined attributes, tags, and optional schemas that enforce consistent metadata. Integrated institutional SSO and fine‑grained permission controls enable collaborative access within research groups while protecting sensitive information. Built‑in versioning tracks changes to individual files, and the platform provides web‑based tools for fast searching, filtering, and visualisation of data, supporting reproducible analysis and quicker insight generation.

Target Audience

Primary users are physics researchers and data‑driven scientists in academic or research institutions who need a centralized, secure repository for experimental measurement data.

Features

  • Hierarchical organization of data into scopes, datasets, and files with unique identifiers for reliable referencing
  • Schema definition at the scope level to enforce required attributes, value constraints, and regex validation for consistent metadata
  • Multi‑version file storage allowing retrieval of previous data states and audit trails
  • Institutional SSO integration and role‑based access controls for secure, collaborative use
  • On‑premises deployment behind institutional VPNs to meet data‑privacy and compliance requirements
  • Web interface for rapid search, filtering, and interactive plotting of stored measurement data
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