Data Scientists & Domain Researchers

The domain researchers, data scientists, data practitioners and the research infrastructures they collaborating with, are the main producers and consumers of scientific data. In almost all research communities, there is a growing awareness that the “rising tide of data” will require new approaches to data management, better data practices and improved data technologies in all research domains enable and boost scientific discovery and innovation. Data Scientists & domain researchers can benefit from the Data Analytics Development Framework, which integrates a graphics framework (LEMONADE) developed in the frame of the project and capable of building up data analytic parallel workflows on Spark and COMPSs and supporting OLAP functions through Ophidia with privacy and QoS constraints. The programming framework includes a broad suite of pre-built tools and descriptive and predictive models for traffic data analytics, ready to be integrated on the applications developed by Data Scientists.