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Research Data Management (RDM) at Hoplab

Welcome to this brand-new section that describes how Hoplab handles research data during the full project lifecycle: from onboarding and data collection to storage, sharing, and archiving.

Our procedures aim to ensure:

  • consistent, reproducible and well-organised datasets across projects
  • compliance with KU Leuven RDM policy, FAIR principles, relevant ethical guidelines, and GDPR
  • secure handling of confidential participant data
  • efficient collaboration and long-term preservation

Start here

Tools we use to store and share data

  • SharePoint → How to set it up for daily use
  • ManGO → How to store active research data
  • FriGO → How to archive data on the long-term after projects end
  • RDR → How to publish and share datasets

This decision tree shows the intended storage location of project data at Hoplab across the lifecycle:

Decision tree

⚠️ Work in progress

These guidelines reflect the current working procedures and may be updated as workflows are tested and improved. Please check out this section regularly if you are starting a new project.

If anything is unclear or missing, please contact the RDM responsibles (Klara or Andrea) so the documentation can be refined.