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Working with data in HUNT cloud

Overview

Purpose: Describe how you should to treat and deal with the data on the Hunt Cloud environment.
Scope: This guide covers guidelines for data treatment and handling.
Audience: All users.

Core Principles

1. Data Protection and Compliance

All data handling must follow relevant legal and institutional frameworks, including:

  • REC approval.

  • GDPR for processing personal and sensitive personal data.

  • Helseforskningsloven (Norwegian Health Research Act).

  • Institutional data handling agreements and ethical approvals.

Only users with authorized access may interact with datasets.

2. Data Minimization

  • Access and process only the data strictly necessary for approved project tasks.

  • Direct identifiers should be removed or pseudonymized.

3. Secure Environment Usage

  • All data processing must take place within the HUNT Cloud environment.

  • Data must not be downloaded, copied, or transferred outside the cloud unless explicitly approved by the lab leader or space leader.

4. Structured Organization

Data should follow a clear and consistent directory structure, typically separating:

  • Raw data – read-only, original files.

    [NOTE] Raw data should be saved in the dedicated location under /mnt/archive.

  • Processed data – intermediate outputs.

  • Results – final outputs (e.g., models, statistics, figures).

5. Documentation and Traceability

All projects should maintain documentation (e.g., README file) covering:

  • Data sources.

  • Processing workflows and scripts.

  • Software versions.

  • Storage locations.

  • Access permissions.

This ensures transparency and reproducibility of all analyses.