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Building Together
2011 ‘Laying the foundations for a
strong collaboration community’
2013 ‘Building products out of our data’
2014 ‘Harvesting the Fruits of Open Data’
2015 ‘Beyond .Stat – fostering an innovation ecosystem’
2012 ‘Building a collective capacity to enable innovation’
THE AGILE DATA
FACTORY
CREATE AND COMBINE
DATA EXPERIENCES
11-12 APRIL 2016
OECD, PARIS, FRANCE
SIS-CC now in its 6th year
SIS-CC continues to grow…
CSPA
?
SIS-CC as an Open Innovation ecosystem
Community vision
Provide a strategic framework
for international collaboration to achieve a
more open,
more innovative,
more industrialised
data dissemination
Co-producing software, leveraging innovations, mutualising costs & accelerating
the standardisation process.
SIS-CC objectives
Co-producing and co-developing state-of-the-art Statistical
Information Systems by leveraging on community capacities.
Sharing of experiences, knowledge and best practices through
multilateral collaboration and building of a collective capacity.
Enabling innovation at an optimal cost in a minimal time with all
members benefiting from each other in terms of ideas and methods.
Provide a platform for Open Data projects as identified
as a priority for major member countries.
Implementing standards (SDMX) for data sharing across organisations
in order to improve data accessibility and quality, and reduce costs.
Product directions
-> all based on SDMX …
October 2016
Current product directions
 Developing an SDMX and Open Data Strategy.
 Streamlining of Data Collection Processes.
 Enable New Data Experiences.
 Streamlining of Data Dissemination Processes.
 SDMX in details: what’s on-going …
Current product directions
 Developing an SDMX and Open Data Strategy.
 Streamlining of Data Collection Processes.
 Enable New Data Experiences.
 Streamlining of Data Dissemination Processes.
 SDMX in details: what’s on-going …
Current product directions
 Developing an SDMX and Open Data Strategy.
 Streamlining of Data Collection Processes.
 Enable New Data Experiences.
 Streamlining of Data Dissemination Processes.
 SDMX in details: what’s on-going …
Current product directions
 Developing an SDMX and Open Data Strategy.
 Streamlining of Data Collection Processes.
 Enable New Data Experiences.
 Streamlining of Data Dissemination Processes.
 SDMX in details: what’s on-going …
Framework for Reusable Components for the Web
Easily create
new data
experiences
Components for the Web
reusable even in Office applications…
Data Wizard, OECD.Graph v2
Current product directions
 Developing an SDMX and Open Data Strategy.
 Streamlining of Data Collection Processes.
 Enable New Data Experiences.
 Streamlining of Data Dissemination Processes.
 SDMX in details: what’s on-going …
End-to-end Data life cycle management
Full dataset information and administration, release management (workflow),
extensible towards management of preceding statistical processes
Current product directions
 Developing an SDMX and Open Data Strategy.
 Streamlining of Data Collection Processes.
 Enable New Data Experiences.
 Streamlining of Data Dissemination Processes.
 SDMX in details: what’s on-going …
What’s on-going, coming?
 SDMXSource
 Data in Json format – done
 Structure in Json format – on-going
 NSI Web Service plug-in
 .Stat – DSD on the fly – on-going (dataflows)
 Coming …
Questions?

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2016 SDMX Experts meeting, Building Together

  • 2. 2011 ‘Laying the foundations for a strong collaboration community’ 2013 ‘Building products out of our data’ 2014 ‘Harvesting the Fruits of Open Data’ 2015 ‘Beyond .Stat – fostering an innovation ecosystem’ 2012 ‘Building a collective capacity to enable innovation’ THE AGILE DATA FACTORY CREATE AND COMBINE DATA EXPERIENCES 11-12 APRIL 2016 OECD, PARIS, FRANCE SIS-CC now in its 6th year
  • 4. CSPA ? SIS-CC as an Open Innovation ecosystem
  • 5. Community vision Provide a strategic framework for international collaboration to achieve a more open, more innovative, more industrialised data dissemination Co-producing software, leveraging innovations, mutualising costs & accelerating the standardisation process.
  • 6. SIS-CC objectives Co-producing and co-developing state-of-the-art Statistical Information Systems by leveraging on community capacities. Sharing of experiences, knowledge and best practices through multilateral collaboration and building of a collective capacity. Enabling innovation at an optimal cost in a minimal time with all members benefiting from each other in terms of ideas and methods. Provide a platform for Open Data projects as identified as a priority for major member countries. Implementing standards (SDMX) for data sharing across organisations in order to improve data accessibility and quality, and reduce costs.
  • 7. Product directions -> all based on SDMX … October 2016
  • 8. Current product directions  Developing an SDMX and Open Data Strategy.  Streamlining of Data Collection Processes.  Enable New Data Experiences.  Streamlining of Data Dissemination Processes.  SDMX in details: what’s on-going …
  • 9. Current product directions  Developing an SDMX and Open Data Strategy.  Streamlining of Data Collection Processes.  Enable New Data Experiences.  Streamlining of Data Dissemination Processes.  SDMX in details: what’s on-going …
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  • 12. Current product directions  Developing an SDMX and Open Data Strategy.  Streamlining of Data Collection Processes.  Enable New Data Experiences.  Streamlining of Data Dissemination Processes.  SDMX in details: what’s on-going …
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  • 15. Current product directions  Developing an SDMX and Open Data Strategy.  Streamlining of Data Collection Processes.  Enable New Data Experiences.  Streamlining of Data Dissemination Processes.  SDMX in details: what’s on-going …
  • 16. Framework for Reusable Components for the Web
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  • 21. Components for the Web reusable even in Office applications… Data Wizard, OECD.Graph v2
  • 22. Current product directions  Developing an SDMX and Open Data Strategy.  Streamlining of Data Collection Processes.  Enable New Data Experiences.  Streamlining of Data Dissemination Processes.  SDMX in details: what’s on-going …
  • 23. End-to-end Data life cycle management Full dataset information and administration, release management (workflow), extensible towards management of preceding statistical processes
  • 24.
  • 25. Current product directions  Developing an SDMX and Open Data Strategy.  Streamlining of Data Collection Processes.  Enable New Data Experiences.  Streamlining of Data Dissemination Processes.  SDMX in details: what’s on-going …
  • 26. What’s on-going, coming?  SDMXSource  Data in Json format – done  Structure in Json format – on-going  NSI Web Service plug-in  .Stat – DSD on the fly – on-going (dataflows)  Coming …
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