Data Management

Today's growing wealth of digital data in Europe is poorly exploited. Advances in storage, pervasive computing, digital sensors and instrumentation have led to massive growth in the volume of data collected and the number and complexity of data repositories. This growing wealth of data has an increasing potential to yield great benefits to citizens, science and business as it contains vital hidden knowledge.

The DM-CWG has particular interests in technologies that can help in the management and interpretation of these inceasingly large and complex data sets.

Current participants

ADMIRE

The Advanced Data Mining and Integration Research for Europe FP7 project is taking existing tools and weaving them into an architecture that will facilitate data integration and data mining on an Internet scale.

PERSIST

The FP7 PERSIST project continues the work of the FP6 Daedelus project and aims to provide a persistent framework for smart spaces (such as smart homes), using a service enabling framework.

ROMULUS

The FP7 project ROMULUS aims to apply semantic techniques like RDF to annotate data in model-driven design methodologies to assist in the meaningful integration of the many software artifacts out there.

Proposed modus operandi

Members of DM-CWG will identify and propose themes in the discussion forum from their own work. These themes will be areas of potential overlap with other projects. As themes attract interest they will be formally adopted by the group and the themes' owners will develop them towards producing short reports on the outcomes of focused collaborative tasks.

Themes should be focused and amenable to generating some form of output within a reasonable time-frame. Any theme which looks like it might take several people many months should probably be worked up as a proposal :-).

Chair: Rob Baxter: r.baxter [AT] epcc.ed.ac.uk

Related Documentation

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Discussion forum

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