Metadata are data about data. They describe the meaning of contents and their relationships to each other.

An often overlooked aspect: metadata make content not only more understandable for humans, but also for machines. They allow digital content to be processed automatically.

The problem: there are endless amounts of metadata and metadata standards. It is not only difficult to find the right one. You also have to agree with others to be able to use all the advantages sensibly.

This is not so easy.

The Sustainable Exploration of Digital Content

Metadata make it possible to describe the meaning of content precisely, not only for humans but also for machines. This makes them an efficient tool for the versatile dissemination of educational content or research data.

Only the three most important aspects:

Findability

Metadata make it possible to qualify and find educational content and research data. You no longer have to struggle with the results of a full-text search but can search and filter content in a targeted manner, according to professional, methodological and other criteria.

Multimodality

Metadata make it possible to provide educational content and research data in a user-specific way. They can be extracted in a targeted manner and shared in multiple ways, multi-modal with different users or user groups, specifically related to their interests and needs.

Automation and Artificial Intelligence

Metadata make it possible to process educational content and research data automatically. For example, for automated verification, supplementation or translation. Artificial intelligence plays an increasingly important role here. It can already do a lot with unstructured content. But it handles content enriched with metadata much better. And it reaches its full potential.

We develop solutions for granular metadata management, enabling the detailed description of all kinds of content with metadata. They support not only working with existing metadata standards but also their adaptation and specification.