The document discusses the 6th annual SIS-CC conference on creating and combining data experiences. It provides an overview of SIS-CC's growth over the past 6 years in building an open innovation ecosystem for data dissemination. Current product directions being discussed include developing an SDMX and Open Data strategy, streamlining data collection and dissemination processes, enabling new data experiences through reusable components, and providing details on ongoing SDMX initiatives.

1. 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

3. SIS-CC continues to grow…

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 …

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 …

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

17. Easily create
new data
experiences

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

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 …

31. Questions?