We are making official statistics easily accessible to all. Download various datasets and/or request for specific ones.
Stats SL Open Data Dashboard is part of a suite of public-facing open data dashboard, which collects, synthesizes, and visualizes Stats SL data to help users analyse and support decision-making and reporting. Access to the GoSL information is paramount amongst the priorities of the Government and the enactment of the Freedom of Information (FoI) bill empowers citizens and other stakeholders to gain access without any obstruction. The Stats SL open data dashboard provides free access and a quick and easy view of key up-to-date demographic and socio-economic indicators and statistics.
The Integrated Geographic Information System (GIS) Portal is an interactive platform that links disparate GIS datasets from the Government of Sierra Leone (GoSL) and its partners. The platform will allow decision makers to access and view distributed national assets including natural resources and infrastructure.
OpenData Platform (ODP) for Africa is a tool for data submission and dissemination that has been made available for African Countries, under the statistical capacity-building program of the African Development Bank (AfDB). ODP offers a rich data dissemination platform that greatly facilitates the web dissemination of data by agencies using it. ODP provides a unique opportunity for the countries and regional organizations to disseminate their data through a common suite of tools that offer access, download, and visualization in the form of dashboards, reports, charts, and queries.
This platform also allows the data users to access data in machine-readable SDMX (Statistical Data and Metadata Exchange) standard. SDMX is an initiative sponsored by seven international organizations to foster standards for the exchange of statistical information, (sponsored by BIS, ECB, EUROSTAT, IMF, OECD, UN, and World Bank) and is a key component of providing open access to data.
Worldwide, data-oriented organizations find themselves at a critical juncture when it comes to data management as they respond to the rapid growth in the variety, volume and velocity of supply a nd demand for data. Statistical organizations are at the forefront of these changes. This report considers how the Frictionless framework (https://frictionlessdata.io/) could contribute to data management within statistical organizations such as National Statistical Agencies (NSOs) and the World Bank. It bases its findings on interviews with key staff from the Bank and two of its partner NSOs, Statistics Sierra Leone (Stats SL) and the Colombian National Administrative Department for Statistics (DANE), as well as the documentation they provided.