Utilizing Non-traditional Data for Official Statistics in Africa
Explore the significance of non-traditional data sources for compiling SDG indicators in English-speaking African countries. Understand the integration of big data and geospatial information for statistical purposes, in line with fundamental principles and charters. Discover the benefits of incorporating big data sources into official statistics, improving timeliness, cost-effectiveness, and resource efficiency.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Sub-regional workshop on integration of administrative data, big data and geospatial information for the compilation of SDG indicators for English-speaking African countries 23-25 April 2018, Addis Ababa, Ethiopia Non-traditional data sources for official statistics: what to retain from the current dynamics? L andre Ngogang, ECA
Are non-traditional data useful for official statistics? UN-Fundamental Principles for Official Statistics: Official statistics provide an indispensable element in the information system of a democratic society, serving the Government, the economy, and the public with data about the economic, demographic, social and environmental situation (principle 1) Data for statistical purposes may be drawn from all types of sources, be they statistical surveys or administrative records (principle 5)
Are non-traditional data useful for official statistics? African Charter on statistics: Data used for statistical purposes may be collected from diverse sources such as censuses, statistics surveys and/or administrative records. The statistics organizations shall choose their sources in consideration of the quality of data offered by such sources and their topicality, particularly the costs incurred by the respondents and sponsors (principle 2)
Are non-traditional data useful for official statistics? 45thUNSC: by incorporating big data sources into their production of official statistics, national, regional and international statistical organizations could be better positioned to obtain official statistics on the economy, society and the environment in terms of improved timeliness and cost efficiency, and a lessened resource burden United Nations as a champion of data revolution, UN Global agenda for big data Are non-traditional data useful for official statistics? No more a pertinent question!
What does big data sources mean for official statistics? Legal framework non-government organizations Privacy Guidelines, law Partnerships Guidelines, collaboration between NSS and: academia, commercial partners, etc. to harness big data sources Quality Guidelines , methodologies Resources skills, human resources and capacity-building needed to address new data sources and big data required for dealing with Big Data IT / methodological issues Standards, methodology, infrastructure right to access data from both government and
The way forward Define how non-traditional data sources can be incorporated into official statistics Development of guidelines, methodologies (proactive efforts in Africa) Conduct pilot studies Conduct researches on possible non-traditional data sources relevant for Africa s realities Guiding frameworks: UN Fundamental Principles for Official Statistics African Charter on Statistics
Thanks For questions and comments: L andre Ngogang African Centre for Statistics Economic Commission for Africa ngogangwandji@un.org
