Tanzania
The Global Partnership for Sustainable Development Data supports country partners at the national and sub-national levels in Tanzania to develop and implement whole-of-government, multi-stakeholder data roadmaps for sustainable development.
The Tanzania Data Lab is a data science hub in Dar es Salaam that has come out of a partnership between the Millennium Challenge Corporation (MCC) and the United States President’s Emergency Plan for AIDS Relief (PEPFAR). Working under the umbrella of the Data Collaboratives for Local Impact (DCLI) MCC/PEPFAR partnership, the dLab is at the forefront of building a data-driven ecosystem in Tanzania – at a national level and among individuals - by working concurrently to augment the demand for data, increase the supply of it, and improve local technical capacity.
There are a number of other data innovation activities currently supporting sustainable development in Tanzania. See below for blogs, partner activities, initiatives, and resources related to sustainable development data in Tanzania.
Initiatives
News
Data for Development Festival
Recap of the UN World Data Forum: Using OpenStreetMap for the Sustainable Development Goals
Resources
Intercambio de experiencias entre América Latina y el Caribe y África sobre registros administrativos
Latin America and the Caribbean-Africa Peer Exchange on Administrative Data
A Study of Africa Regional Data Cube Governance Frameworks and Operationalization
ARDC Lessons Learned One Year Post-Launch
Mobile Data for Social Impact: Summary Report
Implementing Agenda 2030: Unpacking the Data Revolution at Country Level
Tanzania Socioeconomic Database and Dashboard
Results Data Initiative: Tanzania Country Report
Partners
Recently, PAL Network members designed and implemented the International Common Assessment of Numeracy (ICAN) across 13 countries using a common tool. ICAN is an open-source, robust and easy-to-use assessment tool, available in 11 languages, that offers international comparability of results aligned to SDG 4.1.1 (a).
The study aimed to demonstrate proof of concept in two ways: