Comet Data Collections

Metadata of Spectral Data Collections

Metadata is important for the interpretation of scientific data, quality assessment and long term usability of data sets. The sharing of spectral data collections among research groups is uncommon and one of the reasons for this is the missing standardisation of the sampling process. Appropriate metadata serves the purpose of detailing the sampling procedure and the surrounding conditions durin...

Cyberinfrastructure Supporting Evolving Data Collections

The requirements to support large-scale and complex research collections are growing at an accelerated pace. Considering the continuous evolution of the collections, their increasing sizes, the technologies supporting them, and the importance of adequate data management to long-term preservation, a team at the Texas Advanced Computing Center (TACC) developed a cyberinfrastructure to aid researc...

Persistent Archives for Data Collections

The COMET Metamodel for Temporal Data Warehouses

“The Times They Are A-Changing” (B. Dylan), and with them the structures, schemas, master data, etc. of data warehouses. For the correct treatment of such changes in OLAP queries the orthogonality assumption of star schemas has to be abandoned. We propose the COMET model which allows to represent not only changes of transaction data, as usual in data warehouses, but also of schema, and structur...

Large-Scale Multimedia Data Collections

T he widespread adoption of smartphones equipped with high-quality image-capturing capabilities coupled with the prevalent use of social networks have resulted in an explosive growth of social media content. People now routinely capture the scenes around them and instantly share the multimedia content with their friends over a variety of social networks. The social network functions also ensure...