Automated metadata, provenance cataloging and navigable interfaces: Ensuring the usefulness of extreme-scale data

For scientific research, it is not the mere existence of experimental or simulation data that is important, but the ability to make use of it. This paper presents the results of research to create a data model, infrastructure, and a set of tools that support data tracking, cataloging, and integration across a broad scientific domain. The system is intended to document workflow and data provenance in the widest sense. Combining research on integrated metadata, provenance, and ontology information with research on user interfaces has allowed the construction of early prototype. While using fusion science as a test bed, the system's framework and data model is quite general.