Metadata management for scientific databases

Towards Exascale Scientific Metadata Management

Advances in technology and computing hardware are enabling scientists from all areas of science to produce massive amounts of data using large-scale simulations or observational facilities. In this era of data deluge, effective coordination between the data production and the analysis phases hinges on the availability of metadata that describe the scientific datasets. Existing workflow engines ...

Metadata Management in Scientific Computing

Complex scientific codes and the datasets they generate are in need of a sophisticated categorization environment that allows the community to store, search, and enhance metadata in an open, dynamic system. Currently, data is often presented in a read-only format, distilled and curated by a select group of researchers. We envision a more open and dynamic system, where authors can publish their ...

Metadata Management in Outsourced Encrypted Databases

Database outsourcing is becoming increasingly popular introducing a new paradigm, called database-as-a-service, where a client’s database is stored at an external service provider. Outsourcing databases to external providers promises higher availability and more effective disaster protection than in-house operations. This scenario presents new research challenges on which the usability of the s...

Scientific databases Biological data management

Extended File System Metadata Management with Relational Databases

Modern file systems need to handle extended metadata. Existing file systems are not equipped to handle managing metadata in the amount of files and the diversity of files that these file systems are now supporting. Users need better searching and querying capabilities. Metadata within files still remain applicationand file format-specific and is often proprietary, which makes searching difficul...