Download pdf - 2014 Conference on Big Data from Space BiDS'14 Summary and Recommendations

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


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


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


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)