The SDGs have defined an indicator, 17.18.2, in which a country's statistical capacity is given by the existence of a statistical law that conforms to the UN Fundamental Principles of Official Statistics. The Latin America region is a heterogenous region and this is reflected in the divergent institutional structures of the national statistical offices, stemming from the regulatory frameworks that have their basis in the law. PARIS21 has created a typology for evaluating these regulatory frameworks and will present its paper for review in a peer-review setting.

PARIS21 will undertake a series of three peer learning sessions under the title of “re-engineering statistical systems” that will examine

  • 26.Oct. 2021: Organizational structure
  • 30.Nov.2021: Coordination of the statistical system
  • 22.Feb. 2022: Innovation and cost reduction

This peer learning will provide the opportunities for directors of the various NSOs to discuss these organizational issues among themselves and discuss among peers different approaches and build collegiality.

These sessions will feature a paper that will discuss the re-engineering of statistical offices and then engage in each session three statistical offices to present aspects on each of the three sessions. PARIS21 will work in conjunction with the National Institute of Statistics of Paraguay to organize and host these sessions. This peer learning will help countries that are considering new statistical laws and re-engineering their organizational structures in order to create truly responsive structures and take relevant steps in modernization.  Each peer learning exercise will feature three National Statistical Offices and provide a management point-of-view. The sessions are targeted to the NSO directors.

The first session has been set as follows:

 

Date

26.October.2021 @ 11:00 Paraguay Time

Host

PARIS21 and the INE of Paraguay

Panel countries

Paraguay, Costa Rica and Ecuador

Topic

An institutional anatomy and essential functions of an NSO in order to strengthen its autonomy, professionalism and innovation.

Special features

This session will introduce a paper that will be produced on the topic but provide the backdrop to assure an opportunity for peers to contribute to the paper.

The target specified for UN SDG 17.18 is to enhance the capacity of statistical systems to produce high quality, timely and reliable data.  Attaining this target requires a constant disposition to change and adaptation and continually strive to apply the best processes that can deliver the data to meet this target. That is why a sustainable view always seeks to meet the future and create the structures that adapt and are fit for the future.

See other articles

Funding
Global funding commitments for data and statistics haven’t matched the surge in data demand spurred by the COVID-19 pandemic. Stagnant funding is one driver behind the launch(...)
13.10.2021
opinion
The saying: “If you are not paying for the product, you are the product” captures only have of today’s reality. The revelations of the former Facebook employee Frances Haugen(...)
12.10.2021
cress
The Dominican Republic has embarked on a CRESS exercise that aims to measure the investments in statistical systems in the country. This is the first CRESS in Latin America a(...)
11.10.2021
clearinghouse
Launched todayat the UN World Data Forum in Bern, theClearinghouse for Financing Development Data is a new, free online platform that aid recipients, donorsand others can use(...)
04.10.2021