Summary and Recommenda.ons
Main Objec+ves • Widen competences and exper.se of universi+es, research
ins+tutes, labs, SMEs, and industrial actors • Foster networking of experts and users towards be>er access and
sharing of data, tools, and resources • Leverage innova+on, spin in/off of technologies, and business
development arising from research and industry progress • Contribute towards the iden+fica+on of the priori.es for a ’Big
Data from Space’ research, development and innova.on agenda
Competences and Exper.se
• Architectures and plaKorms • Data storage management • Harmonisa+on and standards • Open and linked data • Data assimila+on • Data visualisa+on • Data processing (HW & SW) • Mul+-‐mission and mul+-‐source data
processing • Data mining
Achieving the main objec+ves
• Content based image retrieval • Mul+-‐temporal analysis • Collabora+ve environments and
federa+on of processing capabili+es • End-‐to-‐end system design • Ci+zen cyberscience &
crowdsourcing
Networking
• More than 400 par+cipants and authors, from 28 different countries • Interna+onal Organiza+ons (ESA, JRC, EU SatCen) • Na+onal Organiza+ons (CNES, DLR, ASI, NASA, NOAA, …) • Research ins+tutes, universi+es and industry • Domains covered: Earth Science, Climate Science, Astronomy, Resource
Management • Technologies covered (see previous slide) • High interac+on during industry demonstra+on sessions
Achieving the main objec+ves
Business development
Main issues: • Quality of data (Veracity), leading to quality informa+on for end user • The future of space open data • Iden+fica+on of value chain segments • Commodi+sa+on of big data infrastructures • Legisla+on framework (interoperability, data protec+on, IPR) • Big Data Public Private Partnership (cPPP) between EC and Big Data Value
Associa+on
Achieving the main objec+ves
Research, Technology Development and Innova.on Priori.es
Alignment with EU’s views on a data-‐driven economy:
• Availability of good quality, reliable data (Veracity) • Availability of interoperable datasets and enabling infrastructure (Volume &
Variety & Velocity) • Usability of data for decision-‐making processes • Improved framework condi+ons that facilitate value genera+on from datasets,
coopera+on among “players” and sharing of solu+ons • Exis+ng (EO, Science, SSA, Space engineering, …) and future applica+ons areas
where improved big data handling can make a difference
Achieving the main objec+ves
Big Data
Volume • Mul+ mission • Historical • Processed • …
Velocity • Sensor • Processing (HW/SW)
• User access (Cloud)
Variety • Sensor / systems • Processing • Applica+ons • …
Veracity • Cri+cal applica+ons • Societal needs • Business needs • Policy needs
R&D&I priori.es
1. Establish a research, technology development and Innova+on agenda in the field of Big Data from Space with several well coordinated (and unified) concept and ac+vity streams, in close and permanent dialogue with the key industry /SMEs actors
2. Foster research ac+vi+es and innova+ve solu+ons in the “Data Science” domain, in view of future downstream services
3. Coordinate the European efforts (programma+c and technical) for developing and promo+ng new models and plaKorms for Big Data from Space exploita+on (from data-‐to-‐user to user-‐to-‐data)
4. Contribute to the explora+on and implementa+on of new “partnership models” for the actual exploita+on of future Big Data flows
5. Include in technology programmes ac+vi+es suppor+ng the development in cross-‐sectorial Big Data fields
Drak Recommenda+ons (to ESA)