64th ISI World Statistics Congress - Ottawa, Canada

64th ISI World Statistics Congress - Ottawa, Canada

IPS 438 - Improving quality of administrative data for statistical purposes

Category: IPS
Thursday 20 July 10 a.m. - noon (Canada/Eastern) (Expired) Room 107

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Improving quality of administrative data for statistical purposes

Administrative data collected by governments and service providers in the course of their day-to-day business is an increasingly important source for the production of official statistics to fill gaps in the data available to policy and decision makers to monitor progress and implement the 2030 Agenda and other government priority areas.  How to proceed to get access to administrative data sources and how to assess and assure the quality of these data for statistics production are, however, challenges that many countries are facing and seek guidance and experience from others on.

To respond to these and other related needs, the UN Statistics Division and the Global Partnership for Sustainable Development Data established the Collaborative on Administrative Data for Statistical Purposes in 2020. From early on it was agreed with the various members, representing national statistical offices, regional and international agencies, to have a practically oriented focus. This included sharing of resources, tools, best practices and experiences, and contributing to raising awareness among all members of national statistical systems about the benefits of sharing and combining administrative sources to enhance the quality, timeliness, coverage and level of disaggregation of statistical data.

Members of the Collaborative on administrative data have now started work on the development of quality assessment and assurance guidance documents that focus on administrative data. As the need for guidance is strong among low resource countries that are just initiating their efforts to make better use of administrative data sources, the focus has initially been on this context, but experiences from further advanced countries are also brought together through various fora of exchange such as the inventory of resources of the Collaborative and expert clinics.

In parallel, the Expert Group on National Quality Assurance Frameworks (EG-NQAF) is considering providing additional guidance regarding quality assurance in the case of administrative and other data sources.. The work of the two groups is coordinated through UN Statistics Division and is expected to bring consolidated practical level guidance resources on quality in administrative data for statistical purposes to the UN Statistical Commission in the coming years.

This session will present some of these ongoing efforts on ensuring quality in administrative data sources for statistics production, showcasing good practices from countries, covering different levels of development and use of administrative data sources. Recent practically oriented tools that are meant to support countries in their work to operationalize quality assurance work on administrative data will also be presented. The session will be moderated by UN Statistics Division (Ms. Vibeke O Nielsen) and include presentations as follows:

  • - Presentation on practical tool/guidance material on assessing quality of administrative data for statistical purposes, targeted towards countries that are in early stages of the work (Ms. Silja Emmel, consultant working for the Collaborative on administrative data/UN Women)

  • - The experience of quality assessment and assurance of administrative data in Dominican Republic (Ms. Miosotis Rivas, Director General, National Statistics Office, Dominican Republic)

  • - Assessing the quality of administrative data in Bhutan (Mr. Phub Sangay, Specialist III, National Statistics Bureau, Bhutan)

  • - Engagement with administrative data owners on data quality in Poland (Mr. Janusz Dygaszewicz, Director of ICT Systems, Geostatistics and Census Department, Statistics Poland)

  • - Discussant: Ms. Lucia Barbone, Team Leader of data quality and analysis, Office of National Statistics, United Kingdom

  • - Q&A/discussion

  • - Conclusion

Organiser: Vibeke Nielsen 

Chair: Vibeke Nielsen 

Speaker: Tashi Dorjee 

Speaker: Silja Emmel 

Speaker: Miosotis Rivas  

Speaker: Janusz Dygaszewicz 

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