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IPS57 Eric Rancourt
8. Iteration. Now that the pathfinder projects were successfully
accomplished, the modernization approach has been expanded to
many more programs. As well, lessons learned related to new methods
(e.g. machine learning) and new approaches (e.g. housing program
based on no survey data); only administrative data) are promoted to
other statistical programs.

5. Conclusion
This version of the scientific approach is increasingly used more formally
within Statistics Canada’s Methodology Branch as a frame for its management
activities and development of statistical methods. Such a frame provides a
solid backbone for all activities and enables statistical and managerial activities
to be rigorous, transparent and defendable. As a result, it contributes to
maintaining or increasing trust. Adaptations of this framework could be used
by other NSOs to enhance their own communication practices, which have a
direct influence on the level of trust they inspire.

Acknowledgements
The author would like to thank Stéphane Dufour, Claude Girard, Andrea
Leigh MacMillan, Claudia Sanmartin and Nora Taki for their comments on the
paper.

References
1. Arora, A. (2018). Modernizing the National Statistical System –
Stakeholder Consultations. Catalogue 89200003. Statistics Canada. ISBN
978-0-660-31580-5.
2. Canada (2018). Statistics Act. Minister of Justice, http://laws-
lois.justice.gc.ca, Ottawa.
3. Fellegi, I.P. (1996). Characteristics of an Effective Statistical System.
International Statistical Review. Vol 64, No.2, pp.165-187.
4. Statistics Canada (2000). Policy on informing users of data quality and
methodology. Statistics Canada, Ottawa.
5. United Nations (2014). Fundamental Principles of Official Statistics.
Resolution adopted by the General Assembly. A/RES/68/261.

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