The use of metadata and international standards is essential for the distribution of learning
material as learning objects and learning components. SCAM is an archive system for storing
and distributing learning components. By using existing standards for learning related
metadata and metadata in general, such as IMS metadata and RDF, an advanced metadata
model is implemented. The metadata model in SCAM supports the use of multiple metadata
sets on the same resources, using different vocabularies and taxonomies in a layered manner.
Based on the SCAM system, different types of archives can be built, such as e.g. portfolios or
general learning component archives. Archives can be connected to each other by the use of
an Edutella peer. SCAM addresses some of the more common, meta data related problems of
storing and distributing learning components.