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eLwazi ODSP Containerization And Workflows Workshop 2025

Containerization technologies such as Docker and Singularity enable replicable software stacks and compute environments which can be deployed on heterogeneous computational platforms from HPCs to cloud instances. Workflow languages such as Nextflow and Workflow Definition Language (WDL) enable one to automate data cleaning and analysis processes making it easier to test various parameters and tools, and enables reproducible science without the computational overhead of virtual machines. The purpose of this workshop is to train and capacitate African data scientists and analysts from the DS-I Africa projects on the creation and use of containers and workflows as applied to their research projects.

eLwazi ODSP Tools and Workflows Working Group invites applications from individuals interested in learning how to use containerization and workflows. The workshop will increase foundational computing skills, and topics may focus on 1) setting up resources using an open stack environment, 2) containerization, 3) workflows, and 4) job submission to HPC. The Containerization and Workflows workshop will run in-person, from November 24-28, 2025, at the University of Cape Town, Cape Town, South Africa.

This workshop is intended for

African data scientists from the DS-I Africa grant projects and other training groups who are using computational tools as part of their analysis and research to create containers for replicable computing.
African data scientists from the DS-I Africa grant projects and other training groups who have developed analysis scripts as part of their analysis and research and want to place these in workflows to automate analysis and enable reproducible science.
Individuals with intermediate or advanced experience. Applicants must have watched eLwazi ODSP Reproducible Science seminar series starting from the 23rd of April 2025 (https://elwazi.org/training/webinar) and tutorials on containers and workflows (https://elwazi.org/training/tutorial).
Data analysts who will be providing support to their projects and already have some experience analyzing big data on different computing environments, such as HPC

Nominees should have experience and have completed the following:

Familiarity with the command line and computational environments such as HPC, OpenStack
Good knowledge of Unix/Linux
Involved in the cleaning, processing, and analysis of a DS-I Africa project data
Utilization of software analysis tools for research/teaching
Have specific tools and scripts to use as examples during the workshop

Closing date: 30 September 2025, 23h55 CAT

Spaces are limited, so enroll ASAP. Confirmed places will be announced no later than 06 October 2025.

For more information, don't hesitate to get in touch with sumir.panji@uct.ac.za or anwani.siwada@uct.ac.za

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Which DS-I Africa project are you affiliated to:

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If you are not part of the DS-I Africa consortium, please list your project here:

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Current occupation/role on current project:

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Please select the area of analysis you work in:

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Bioinformatics

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Using Unix/Linux command lines

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Developing reproducible scientific computing codes

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Building and managing containers

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Running workflows

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Using HPC and job scheduling

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The eLwazi ODSP Tools and Workflows Working Group hosted a series of seminars to build capacity in Reproducible Science. Have you attended any of the Reproducible Science seminars?

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Please select the eLwazi Reproducible Science seminar(s) you have attended

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Lessons from 20 years of open science development (23 April 2025)

Introduction to Containers (14 May 2025)

Introduction to Nextflow (28 May 2025)

eLwazi Metadata Harmonisation Tool (11 June 2025)

Introduction to the Workflow Descriptor Language (09 July 2025)

Running cloud-native pipelines with Dockstore and eLwazi Terra (23 July 2025)

Cloud-based pathogen genomics with Terra (30 July 2025)

Please provide a brief motivation of why you would like to attend the workshop:

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Please provide a brief motivation of how you would apply the skills learned from the workshop to your current research:

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Please upload a letter of support from your Project PI:

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