Search results for: "new data sources"
Digitalisation and innovation
Innovations in data, such as advances in data science, artificial intelligence and new data sources can all greatly contribute to sustainable development by filling gaps and increasing the granularity of data. To ensure that innovation benefits everyone, low and middle-income countries also need access to the same tools and opportunities to collect and use the right data to achieve their development goals.
PARIS21 partners with countries to build and share knowledge and tools to advance innovation and digitalisation in statistical production. Programmes such as the Gender Data Lab (GDL) and Data Science Mentorship are carefully tailored to suit country contexts and capacities, through these, PARIS21 is striving to achieve better and more accessible data.
PARIS21 partners with countries to build and share knowledge and tools to advance innovation and digitalisation in statistical production. Programmes such as the Gender Data Lab (GDL) and Data Science Mentorship are carefully tailored to suit country contexts and capacities, through these, PARIS21 is striving to achieve better and more accessible data.
A Question of Quantity and Quality: How a participatory approach turned citizen-generated data into official statistics in Kenya
Kenya is making solid investments in education, however its policy making requires a huge amount of complex data across a range of indicators – including social and household data, which the National Statistics Office (NSO) does not have the capacity to produce. Through a recent initiative supported by PARIS21, GIZ, GPSDD and the Government of Flanders, the Kenya National Bureau of Statistics and civil society organisations in Kenya have come together to use the detailed, insightful data produced by CSOs along with the robust quality standards of the NSO. In 2022, for the first time, education data from a CSO organisation was used in official reporting.
What does digital technology mean for data dissemination in Ghana?
National statistical offices have experienced significant changes in recent years, urging them to re-think the way they collect, manage and disseminate data. Information technology (IT) has played a critical role in helping to save time, improve accuracy, and enhance access to their products. Yet, the move from a paper-based to a fully digital system requires thorough preparation. The Ghana Statistical Service embarked on a journey to map its data flows in an effort to accelerate digitalisation.
What does digital technology mean for data dissemination in Ghana?
National statistical offices have experienced significant changes in recent years, urging them to re-think the way they collect, manage and disseminate data. Information technology (IT) has played a critical role in helping to save time, improve accuracy, and enhance access to their products. Yet, the move from a paper-based to a fully digital system requires thorough preparation. The Ghana Statistical Service embarked on a journey to map its data flows in an effort to accelerate digitalisation.
Trust in data and statistics
Trust in data and statistics is paramount to the production and use of data, never more so than in the digital age where there are increasing data sources, technologies and actors which differ in reliability and quality, as well as some data sources that are deliberately misleading.
The accessibility of vast amounts of real-time data to the public challenges the traditional authority once held by official statistics. This underscores the urgent need for national statistical offices (NSOs) to address trust issues. As part of its work, PARIS21 is supporting NSOs’ activities that strengthen public trust in official data and statistics.
The accessibility of vast amounts of real-time data to the public challenges the traditional authority once held by official statistics. This underscores the urgent need for national statistical offices (NSOs) to address trust issues. As part of its work, PARIS21 is supporting NSOs’ activities that strengthen public trust in official data and statistics.
A Question of Quantity and Quality: How a participatory approach turned citizen-generated data into official statistics in Kenya
Citizen-generate data in official statistics in Kenya