Research data management system

RDMS will form the backbone for managing data, models, and knowledge within our projects. It provides a structured environment where
information is not only stored but also organised and enriched with essential context. This ensures that datasets and models are easy to find, understand and reuse across projects and teams.

Data integration and federated sharing:

We will enable flexible and reliable interaction between data, models and systems across domains and organisational boundaries. We will operate in an environment where data remains distributed by design, while still being accessible, discoverable and usable in a controlled and transparent manner.

Compute and workflow execution:

We will operate a flexible and scalable compute ecosystem in which internal and external resources can be used seamlessly. Compute and workflow orchestration will be integrated into engineering processes, enabling faster simulations, efficient data processing and scalable scenario analysis.

Governance and trust

We aim to establish a secure and trustworthy digital environment in which data, models, and workflows are protected by design, governed consistently, and fully traceable. This environment should enable confident collaboration within MARIN and with external partners.

Competences

We want to develop IT competences at MARIN to effectively develop, apply, and maintain software and models. This includes expertise in data engineering, software development, modelling, and AI. We want to share experiences effectively throughout the organisation.