Reduce data management effort for analytics

Goal: develop approaches, methods and tools to improve, simplify and reduce the effort involved in the management of data for analytics.

Data validation

Goal: develop advanced analytics techniques and demonstrators to manage the validity and quality of the data being used for data analytics.

Harnessing the Power of Open Data

Goals: develop analytical approaches, methods, models, and tools to understand and improve the way open data sources are identified, validated, and, where possible, incorporated into proprietary data sources.

Data Curation (determining useful data)

Goal: use advanced analytics techniques to determine which data may be considered ‘useful’ to improve data archiving and data storage approaches.