Case study

University Research Data Hub

A research university consolidated fragmented project datasets into a governed hub with self-serve analytics for principal investigators.

Industry: universities · Data Analytics · Cloud Solutions · Web Applications · DevOps

Industry

universities

Results

Priority research groups migrated off unsupported storage within one academic term

Technology

Google Cloud · BigQuery · Cloud Storage

Demo / briefing

Available on request

Problem

Research groups stored data on personal drives and departmental servers with inconsistent backups and access control. Central IT could not support growing compute and collaboration needs, and reporting for grants was manual.

Solution

A cloud research data hub with project workspaces, lifecycle policies, a catalog for discoverability, and templated analytics environments. CI/CD and infrastructure as code keep environments reproducible across faculties.

Approach

We established a landing zone with project-scoped access, migrated priority cohorts with researchers involved in validation, and delivered a portal for dataset discovery, access requests, and standard analytics notebooks.

Business impact

Priority research groups migrated off unsupported storage within one academic term
Grant reporting effort for standard metrics reduced from days to hours
Access requests became auditable with clear approvers and expiry
New project workspace provisioning dropped from weeks to under one day

Technology

Google Cloud · BigQuery · Cloud Storage · Next.js · Python · GitHub Actions · Terraform

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