About eLwazi

The eLwazi consortium is a collaboration across multiple institutions aiming to devlope an Open Data Science Platform funded through the DSI-Africa Initiative. eLwazi is adapted from ulwazi, a Nguni word for “knowledge” or “information”, and olwazi, meaning big rock in Luganda. The aim of eLwazi is to provide an African Open Data Science Platform and associated resources to support the Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa) consortium and beyond. The vision of the eLwazi is to provide users with a flexible environment for 1) depositing, sharing, and accessing data, 2) selecting data-specific tools and methods, 3) Deploying tools and workflows suited to the African context, to facilitate novel discoveries for health.

eLwazi Consortium

Lead: University of Cape Town, PI Nicola Mulder

Partner Institutions:

  • University of the Witwatersrand, PI Scott Hazelhurst
  • Ilifu, PIs Mattia Vaccari (University of the Western Cape), Rob Simmonds, Russ Taylor (UCT)
  • University of Stellenbosch, PI Tulio de Oliviera
  • University of Mauritius, PI Shakuntala Baichoo
  • Uganda Virus Research Institute, PIs Jonathan Kayondo, Daudi Djjingo
  • University of Khartoum, PI Faisal Fadlemola
  • USTTB, University of Bamako, PI Seydou Doumbia
  • Broad Institute, PIs Jonathan Lawson, Christine Loreth
  • EMBL European Bioinformatics Institute, PI Tony Burdett
  • University of California, Santa Cruz, PI Benedict Paten
  • University of Chicago, PI Robert Grossman

The components of eLwazi are developed through the consortium's working groups, these are:

  • Data Models, Storage, Registries and Catalogues
  • Infrastructure
  • Tools and Workflows
  • Outreach, Training and User Support
  • Monitoring and Sustainability

Members of the Scientific Advisory Board:

  • Phil Bourne
  • Tshiamo Motshegwa
  • Vukosi Marivate
  • Melanie Courtot
  • Susan Fairley
  • Vivien Bonazzi