Big Data Value PPP og hva skjer i Europa v/Arne J. Berre, SINTEF

Big Data Value PPP og hva skjer i Europa
v/Arne J. Berre, SINTEF
[email protected]
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Dr. Arne J. Berre, Chief scientist
SINTEF
Forskningsveien 1, Blindern
0314 OSLO, NORWAY
Phone: +47 9204 7452
E.mail: [email protected]
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Dr. Arne-Jørgen Berre is chief research scientist at SINTEF ICT in Oslo, Norway.
Focusing Big Data with a special focus on Data in Motion (sensor data) and Linked
Open Data, and applications for geospatial and environmental service architectures.
He is currently the project leader for the ISO/TC211/OGC ISO 19119 Geographic
services and CEN/TC287 TR 15449-4, Service centric view on SDI – Spatial Data
Infrastructures, and involved in projects with sensors and big data like CITI-SENSE,
DaPaaS and ProaSense. He is a member of the Belmont forum on e-Infrastructure
and Data Management for Environmental data.
Technology for a better society
Outline
BDVA Structure and activities
BDVA Summit, Madrid, May 28-29, 2015
BDVA SRIA and yearly update activity
SG1 – Data Management
SG2 – Data Architecture
SG3 – Data Analytics
SG4 - Data Security/Privacy
SG5 – Data Visualisation
Further Events, 2015
Big Data @ ENEON/RDA, Paris, 21-25/9, 2015
Big Data @ ICT'2015, Lisbon,
Big Data @ ECSA, Barcelona, 28-29/10, 2015
Big Data @ EDA, Luxembourg, 16-18/11, 2015
…..
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BDVA Summit 2015
http://www.bdva.eu/?q=summit
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Cooperation relationships
Natural
Language
community
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SRIA
Please provide input to the
SRIA update survey ! (See slide 27)
http://www.bdva.eu/sites/default/files/europeanbigdatavaluepartnership_sria__v1_0_final.pdf
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Results from TF 6 “Technical Priorities"
Lead: Arne J. Berre, SINTEF
5 Sub Groups– multiple sessions during the Summit
TF6.SG1 - Data Management - Dumitru (Titi) Roman, SINTEF
TF6.SG2 - Data Architectures, Walter Waterfeld, Software AG
TF6.SG3 - Data Analytics - Bjarne Kjær Ersbøll, DTU
TF6.SG4 - Data Protection and Pseudonymisation Mechanisms - Aris Gkoulalas-Divanis, IBM
TF6.SG5 - Advanced Visualisation and User Experience - Carlos Iglesias, UPM
Main next steps (what and when)
1 Working with state of the art surveys – and future challenges
2 TF6.SG3: Data Analytics needs to be defined according to the
questions/problems of less experienced users/industries and more
experienced users/industries.
3 – Planned interaction with TF1 for the SRIA update proposal
Issues to resolve
1 – How to represent the results – plan first in document form – then
maintain and update in a Wiki – to handle many contributors.
2 – How to get technical requirements from relevant use cases
(collaboration with user group/TF7/representatives)?
3. Find links between research topics to real use cases  Applied
Research – with TF7
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Data Management challenges
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Status of TF6.SG.1 “Data Management"
Lead: Dumitru Roman, SINTEF
Main results, conclusions
Clarified scope of the group: why the group exists, the goal, what
we do for DM, what we deliver, how to involve people
Focus areas of the group: Key roles/players; Business cases;
Tools/Methods; Challenges
Main next steps (what and when)
Include interested individuals as part of the group (email – before
summer vacation)
Collection of business cases, experiences, technology/tools, and
challenges (Ongoing)
Recommendations on actions for DM (new calls, projects,
standardization) (2015+)
Issues to address/resolve
Register interested individual to the email list
Figure out a practical way to collect the above mentioned
artefacts
Distribute responsabilities
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Data Architecture
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Data Architecture challenges
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Status of TF6.SG2 “Data Architectures"
Lead: Walter Waterfeld, Software AG
Main results, conclusions
1 Initial steps towards a Big Data reference architecture
2 Detailing of both Data in Motion and Data in Rest
architectures
Main next steps (what and when)
3 Describe State of the Art
4 Identify emerging trends in Data Architectures
Issues to address/resolve
1. Analysing the needs from domains/applications – TF7
2. Cooperation with TF1.SG1
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Data Analytics
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Data analytics challenges
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Status of TF6.SG3 “Data Analytics"
Lead: Bjarne Ersbøll, DTU
Main results, conclusions
1 Less experienced users/industries need intuitive, documented, robust
methods
2 More experienced users/industries can better accept new
development/research
3 Divide methods into: common for (most) applications and specific for
(few) applications
Main next steps (what and when)
1 Identify methods used in a number of application areas and group
into: common and specific
2 Mapping of analytical/modelling skills available and definition of how
to conduct the analysis
3 Describe State of the Art
4 Identify emerging trends in Data Analytics
Issues to address/resolve
1 Great interest in participating ––
2 How to organize such a large group in an operational way
3 Sub-grouping of SG3 is out of the question (right now)
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Data Security/Privacy
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Data security/privacy challenges
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Status of TF6.SG4 “Data Security/Privacy "
Lead: Aris Gkoulalas-Divanis, IBM
Main results, conclusions
1 Description of overall security and privacy principles
2 Identification of people with possible contributions
Main next steps (what and when)
1 Describe State of the Art
2 Identify emerging trends in Data Security/Privacy
3 Biweekly tele-conferences
Issues to address/resolve
1. Analysing the needs from domains/applications – TF7
2. Division of responsibilities/involvement for the work
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Data Visualisation
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Data visualisation challenges
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Status of TF6.SG.5 “Advanced Data
Visualisation and User Experience"
Lead: Carlos A. Iglesias, UPM
Main results, conclusions
1. Include interaction with the 5 senses, including anmultimodality in both input
and output
2. Research on standardisation and patterns of interaction and visualisation for
reuse, recommendation and evaluation
3. Define different user roles for visualisation (end user, domain expert, business
decisor, IT, data sciencts) and needs (debugging, decision making, ...)
4. Connect visualisation and action, going from summarisation to detailed data in
order ot
5. Hybrid approaches combining user-driven and data-driven visualisations
6. Research on social aspects of creating and consuming visualisations
7. Research on techiques (e.g. mashups) for creating visualisations
Main next steps (what and when)
1 Jun 2015 – Invitation to participate in SG (email) and skype meeting
Issues to address/resolve
1 – Define structure of SG and participation scheme
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Most relevant / emerging research topics
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http://bdva.sirap.sgizmo.com/s3/
SRIA Survey
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RDA
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http://www.gstss.org/2015_Paris/program.php
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ECSA
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Citizen Observatories – CITI-SENSE
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ICT'2015
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ICT'2015 – Lisbon – Big Data Sessions
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EDF – European Data Forum'2015
http://2015.data-forum.eu/
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EDF Workshop – November 18th, Linked Geospatial Data
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THANK YOU
Further Information:
Contact: [email protected]
BDVA:
http://www.bigdatavalue.eu/
Horizon 2020 portal:
http://ec.europa.eu/research/participants/portal/desktop/en/home.html
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