16 Apr 2026

ISI Academy - Implementing a Quality Assurance Strategy at the National Level

Datum 16 Apr 2026
Tijd 14:00 CEST - 15:30 CEST
Level of instruction
Instructor
Jan Smit
Giorgia Simeoni
Ed Humpherson
Registration fee

View the recording

This webinar, hosted by the ISI Academy, aims to provide participants with insights into how national statistical offices and regulatory bodies can design, implement, and sustain effective quality assurance strategies for official statistics.

Ensuring the quality of statistical processes and outputs is a critical — and ongoing — challenge for national statistical systems worldwide. This webinar brings together practitioners from three different institutional contexts to share their experiences and approaches. Topics covered include the development of a national quality assurance strategy using the UN National Quality Assurance Framework (NQAF), the challenges of adapting quality management systems to an evolving statistical landscape shaped by administrative data and new data sources, and the role of independent regulation and public accreditation in promoting accountability and driving quality improvements.

By the end of the webinar, participants will have a clearer understanding of the practical tools, frameworks, and governance arrangements that can support a coherent and sustainable approach to quality assurance at the national level. 

 

Assessing the Quality of Statistical Processes at the National Level

Jan Smit

Abstract: The United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) has recently been supporting the National Statistics Office (NSO) of Mongolia in developing and implementing a quality assurance strategy to ensure that all statistical processes are documented; quality reviews are implemented and result in actionable improvement plans; and that these plans are implemented under close monitoring. The presentation will discuss the strategy the NSO, with the support of ESCAP, has been developing and starting to implement since mid-2024, with a focus on enhancing the validity of statistical processes and improving the validity of statistical outputs of a defined process, with a view to implementing specific activities over a three-year cycle. The presentation will explain that it builds on earlier work undertaken by the NSO — in many cases with the support of various development partners — to improve the quality of official statistics, and what additional measures have been designed to transform these building blocks into a coherent system to ensure the validity of the statistical processes. In doing so, the presentation will elaborate specifically on the use made, with necessary adaptations and the development of an administering tool of the United Nations National Quality Assurance Framework (NQAF) checklist adopted by the United Nations Statistical Commission in 2019.  The presentation will conclude with considering the sustainability of the strategy in the context of Mongolia, where resources for the production and dissemination of official statistics are limited.

 

Istat’s Quality Strategy: Ongoing Challenges for Continuous Improvement

Giorgia Simeoni

Abstract: Ensuring high-quality official statistics is a continuous and evolving process. Although Istat has a long-standing tradition in quality assurance and a well-established quality management system, the continuous quality improvement approach requires sustained and consistent commitment. In recent years, the statistical production system has undergone a significant transformation. Traditional sample surveys are increasingly complemented by the extensive use of administrative data and the development of complex multi-source processes. This evolution calls for the redesign of quality documentation, monitoring, and assessment systems in order to ensure robust and reliable outputs. In addition, the possible use of new data sources for statistical production presents additional challenges for quality assurance. While these sources often offer considerable advantages in terms of timeliness and granularity, they also require updated methodological and quality frameworks, besides specific legislative, institutional and organisational settings. At the same time, it is necessary to continue monitoring and improving the quality of traditional statistical processes. This presentation discusses how Istat addresses these challenges, implementing its quality strategy, adapting its tools and practices to support sustainable continuous improvement in an evolving statistical environment.

 

Independent regulation of official statistics – the example of the UK’s Office for Statistics Regulation

Ed Humpherson

Abstract: This presentation will set out the work of the UK’s Office for Statistics Regulation (OSR) in reporting publicly in UK official statistics. It will explain how the UK uses a system of public reporting and accreditation of official statistics to provide assurance and accountability. The presentation will set out the benefits of conferring an accreditation on statistics (as Accredited Official Statistics). It will also describe the tools available to address poor quality and drive improvement – including de-accreditation of statistics. The presentation will touch on other work undertaken by OSR to support public confidence in statistics – including intervening publicly when statistics are misused in public debate.

Instructors

Jan-Smit
Instructor
Jan Smit

About the instructor

Jan Smit has around 40 years of experience as a statistician, an economist and in programme and project management. In his current role as Regional Adviser on Official Statistics at the United Nations Economic Commission for Asia and the Pacific (ESCAP) he works with countries in the region on strengthening their statistical systems, covering, amongst others, legal, institutional and organisational issues; the modernisation of business processes; quality assurance frameworks; the policy-data interface, including the development of indicator frameworks; and specific technical issues in a broad range of domains of statistics. Jan manages several technical cooperation projects; works on the adoption of international standards, recommendations and tools; and facilitates the exchange of good practices between countries. He also plays a key role in coordinating the work of the United Nations development system, as well as selected other development partners, on data and statistics in Asia and the Pacific. Earlier Jan was Senior Statistician at ESCAP’s Statistical Institute for Asia and the Pacific (SIAP), and Chief, Capacity Development and Partnerships, at its Strategy and Programme Management Division. Before that, he held various positions with ESCAP's Statistics Division, the Netherlands government and the United Nations Industrial Development Organisation (UNIDO). Jan undertook consultancy assignments with several international development organizations and businesses and was a visiting professor at the Faculty of Economics of Thailand's Chulalongkorn University.

Giorgia-Simeoni
Instructor
Giorgia Simeoni

About the instructor

Giorgia Simeoni has been the Istat Quality manager since September 2020. She is a senior researcher and has always worked in the field of quality in official statistics. She is also responsible for Istat reference metadata system. She is involved in international quality and standards-related working groups, like the UN Expert Group on National Quality Assurance Framework and the UNECE Supporting Standards Group. In recent years, her main research interests have focused on the development and implementation of quality frameworks for multisource statistics and for statistics based on new data sources. She also has relevant experience in cooperation projects related to quality-related topics and as a trainer in courses related to quality in Official Statistics. She holds a degree in Statistics, Demography and Social Sciences and a master’s degree in Sources, Tools and Methods for Social Research.

Ed-Humpherson
Instructor
Ed Humpherson

About the instructor

Ed Humpherson is head of the Office for Statistics Regulation (OSR). The overall aim of OSR is to ensure that statistics and data serve the public good. OSR supports the public’s right to have access to high-quality statistics that reflect the society we live in, driving quality improvements in data and statistics right across government in the UK. OSR steps in where there are concerns about the use of statistics and data in public debate. Ed is Vice Chair of The Motability Foundation, and trustee of Pro Bono Economics and Security Women. He is on the advisory board of the Science Media Centre, the delivery board of Admin Data Research UK, and the oversight board of the Ada Lovelace Institute. Prior to joining the Authority, Ed was a Board Member and Executive Leader for Economic Affairs at the National Audit Office, a post he held since July 2009. He graduated from the University of Edinburgh and is a Chartered Accountant and member of the Institute of Chartered Accountants in England and Wales.