The inherently collaborative nature of research is impeded by data silos separating individuals, labs, projects, and partners. Mediaflux DAMS provides an entirely different way to organise and interact with research materials.

Workspaces can be created for:

• Individual researchers

• Research projects or grants

• Laboratories or research groups

• Departments, schools, or centres

• Interdisciplinary discovery and collaboration

Each workspace can define its own metadata schema, governance policies, and collaboration model, allowing institutions to structure research data to match their organisational and research practices.

Maximising the long-term value of research data requires context. Researchers are prompted to provide the institution's required and recommended metadata and additional contextual information relevant to the dataset when uploading. Metadata can be applied to individual assets, groups of assets, or entire dataset uploads in a single step.

Capturing this information at ingest makes good data hygiene practices straightforward and routine, reducing impediments to finding, making meaning from, and reusing research assets over time.

Making research datasets usable or discoverable often requires multiple additional tedious steps, which encourages near-term shortcuts leading to downstream data management nightmares. Mediaflux, however, can trigger automated workflows as soon as data enters the system, generating additional metadata to enable and enhance discovery.

These workflows can:

• Send datasets to HPC environments

• Extract metadata from file attributes or instruments

• Apply AI services to analyse content for preliminary inferences

Automation reduces manual effort while improving dataset discoverability and curation.

Once data is ingested and described, it becomes immediately searchable across the system. Researchers can locate datasets using a powerful metadata search, enabling data to be found and reused even years after the original project ends. This supports reproducibility, interdisciplinary research, and maintaining long-term institutional knowledge.