Statistical capacity building for sustainable development: Developing the fundamental pillars necessary for modern national statistical systems

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dc.contributor.authorMacFeely, Stephen
dc.contributor.authorBarnat, Nour
dc.date.accessioned2020-10-05T15:49:36Z
dc.date.available2020-10-05T15:49:36Z
dc.date.issued2017-11-24
dc.description.abstractThis article argues that to prioritise the data requirements of the Sustainable Development Goal (SDG) monitoring framework, requiring 232 global indicators and spanning the full spectrum of development issues, over the development of national statistical systems would be a mistake. Rather, countries and international organisations should prioritise the development of efficient national statistical systems that are sufficiently flexible, responsive and affordable to satisfy the enormous appetite of the SDG monitoring framework but also national and regional information requirements. The growing recognition of the importance of good quality, independent official statistics to support development and progress, provides a unique opportunity to make a real and long-lasting investment to improve national statistical systems. But this will require coordinated investment and political support from countries, donors and international organisations. The three core pillars necessary for a modern statistical system are detailed: a robust legal framework; functioning institutional coordination; and a logical data infrastructure. Without these pillars countries will not be able to build statistical systems appropriate to a data driven world. Nor will they be able to meet existing and future demands for information, including the SDG monitoring framework.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMacFeely, S. and Barnat, N. (2017) 'Statistical capacity building for sustainable development: Developing the fundamental pillars necessary for modern national statistical systems', Statistical Journal of the IAOS, 33 (4), pp. 895-909, doi: 10.3233/SJI-160331en
dc.identifier.doi10.3233/SJI-160331en
dc.identifier.endpage909en
dc.identifier.issn1874-7655
dc.identifier.issued4en
dc.identifier.journaltitleStatistical Journal of the IAOSen
dc.identifier.startpage895en
dc.identifier.urihttps://hdl.handle.net/10468/10635
dc.identifier.volume33en
dc.language.isoenen
dc.publisherIOS Publishingen
dc.relation.urihttps://content.iospress.com/articles/statistical-journal-of-the-iaos/sji160331
dc.rights© 2017 the authors. This is the accepted manuscript of an article published in Statistical Journal of the IAOS. The final publication is available at IOS Press through http://dx.doi.org/10.3233/SJI-160331en
dc.subjectLegal frameworken
dc.subjectInstitutional environmenten
dc.subjectData infrastructureen
dc.subjectSDGsen
dc.subjectSustainable Development Goal (SDG)en
dc.titleStatistical capacity building for sustainable development: Developing the fundamental pillars necessary for modern national statistical systemsen
dc.typeArticle (peer-reviewed)en
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