
Relevant research is rarely in one place. It’s spread across repositories, project websites, datasets, publications, organisations, and events. MDC brings all of it into a single searchable catalogue, so researchers spend their time using the work that already exists instead of hunting for it.
Research communities often work with limited expertise, resources, and training material to begin with, and the useful information that does exist is scattered across repositories, project websites, datasets, publications, organisations, and events. That fragmentation makes it hard for researchers and academics to quickly find the knowledge, experts, or collaboration opportunities relevant to their work.
A researcher can search the MDC catalogue and filter results by category or platform use, across datasets, publications, AI models, educational resources, and success stories. That makes it possible to build a focused collection of resources for a specific research project, product development effort, or proposal, rather than working from whatever happens to turn up in a general search.
The same catalogue also supports finding collaborators. By exploring EU project results, a research team can identify experts with relevant experience in areas such as artificial intelligence, Earth observation, or data-driven services, turning a search for information into a path toward an actual working relationship.
Datasets, publications, AI models, educational material, and success stories all surface from the same catalogue and the same filters.
Filtering by category or platform use turns a broad search into a curated set of resources for a specific project or proposal.
Exploring EU project results surfaces experts with relevant, demonstrated experience, not just publications to read on your own.
Related projects surface alongside the resources themselves, so relevant work doesn’t stay hidden simply because it lives on a different site.
Finding, filtering, and saving relevant resources takes minutes through MDC, in place of the open-ended searching that scattered information usually demands.