1. Modernising Official Statistics
Although my name is on this sheet, I am very indebted to Steven Vale of UNECE who provided the input.
Lieneke Hoeksma

2. Introducing the HLG
High-level Group for the Modernisation of Official Statistics
Created by the Conference of European Statisticians in 2010
11 Chief Statisticians
Vision and strategy endorsed by CES in / 2012
We have to realise that we are shifting more and more from traditional statistical arts and skills to process-based aspects of statistical production

3. The challenges External Challenges
rapidly changing external environment
More sophisticated users
Demand for timeliness and responsiveness
increasing demand for more accessible and ‘joined up’ data to solve complex policy questions
Constraints
Reduced funding and volatility in funding
Our costs are increasing significantly – unable to contact many households, response rates dropping, difficult to recruit and retain interviewers
skills shortages – competing for statistical and ICT skills across government
complex work programs
siloed processes
and aging infrastructure

4. These challenges are too big for statistical organisations to tackle on their own We need to work together

5. Projects HLG Expert groups
Each year, in November, the HLG holds a workshop, together with representatives of different expert groups, to review progress and decide the key priorities for international collaboration projects for the coming year
Expert groups

6. GSBPM CSPA The story so far
The Generic Statistical Business Process Model (GSBPM) was released in 2009 and revised in 2013.
The Generic Statistical Information Model (GSIM) was released in 2012 and revised in 2013
Between them, they provide the basis for the Common Statistical Production Architecture, also released in 2013.
CSPA

7. What is the GSBPM?
A flexible model that describes and defines the set of business processes needed to produce official statistics
Standard framework and harmonised terminology to help statistical organisations
Modernise statistical production processes
Share methods and components

8. What is the GSIM? A reference framework of information objects:
Definitions
Attributes
Relationships
It gives us standard terminology
GSIM aligns with relevant standards such as DDI and SDMX

9. GSIM and GSBPM
GSIM describes the information objects and flows within the statistical business process.

10. What is the CSPA? A template architecture for official statistics
A set of standard specifications for new statistical components (services) that can be used in a modular way
A new way of developing statistical tools, with sharability as a design feature, not an afterthought
CSPA is a platform: we can compare this with say, Windows: if your computer has Windows, you can use elements like Word, Outlook, Excel. If your organisation is CSPA compliant, you can use the tools.

11. Services built Seasonal adjustment – France, Australia, New Zealand
Confidentiality on the fly – Canada, Australia
SVG generator – OECD
SDMX transform – OECD
Sample selection – Netherlands
Linear error localisation – Netherlands
Linear rule checking – Netherlands
Error correction – Italy
By the end of last year we had have several CSPA-compliant services (or components) ready for use. Some as a result of collaboration between organisations, others developed by individual organisations, but the important point is that they will share common specifications. More are being developed this year.

12. the Future of Statistical Production
CSPA
the Future of Statistical Production

13. If statistical organisations create components based on a common statistical production architecture ...

14. ... sharing is easier!
Say if you’re looking for dissemination tools, look in CSPA to see if one has been developed and then you can just on the lego block on your other leg blocks

15. Impact GSBPM GSIM CSPA De-facto global standard
Implemented in over 50 statistical organisations
GSIM
Many new implementations
Incorporated Neuchâtel Classification Model
CSPA
Growing number of CSPA services
Recognised in ESS Vision 2020
The work of the High level group has already had a significant impact.

16. Common language for collaboration
Impact
GSBPM
De-facto global standard
Implemented in over 50 statistical organisations
GSIM
Many new implementations
Incorporated Neuchâtel Classification Model
CSPA
Growing number of CSPA services
Recognised in ESS Vision 2020
Common language for collaboration
Perhaps most importantly, especially in the present context of communication and dissemination, these 3 standards provide a common language for collaboration within and between statistical organisations.

17. Managing GSBPM and GSIM
Owner = High-Level Group
Maintenance is delegated to the Modernisation Committee on Standards
Discussion forums to gather feedback
Importance of stability over time
Reviews every 5 years
Revisions only if really needed

18. HLG Activities – Engagement Map
Countries and organisations involved in HLG activities in Size of shape is roughly proportionate to level of engagement.
If you want to get involved contact Steven Vale:

19. More Information HLG Wiki: www1.unece.org/stat/platform/display/hlgbas
LinkedIn group:
“Modernising official statistics”
Steven Vale: