Statistical Journal of the IAOS
Impact Factor & Key Scientometrics

I. Basic Journal Info

Country

Netherlands

Journal ISSN: 18747655

Publisher: IOS Press BV

History: 2007-2009, 2011-2021

Journal Hompage: Link

How to Get Published:

Research Categories

Scope/Description:

This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed. The journal should encourage papers with a focus on the basic principles for official statistics covering areas such as the importance of applying the best scientific methods the need for statistical independence balancing the needs of users with the burden on respondents the continuing challenges around confidentiality and the growing need for consistency and coherence across statistical domains and over time and for international comparability. As a guide articles relating but not exclusively to the following broad topics will be of interest to the journalDevelopments and challenges for both global and national statistical systemsStatistical independence and legislationNew directions for official statisticsDelivering relevant and effective statistical servicesNew and innovative ways of increasing uses and users of official statisticsQuality of official statisticsEngagement of producersInnovative use of ICT for official statisticsCreative use of both new and existing statistical sourcesOrganisation of statistical servicesStatistical infrastructure and toolsManagement of statistical and related meta dataInnovative statistical products and servicesTraining of statistical staff users and producersImproving statistical literacy in the community.