Overview

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. eLwazi Open Data Science Platform (ODSP) invites applications from individuals interested in learning how to use containers and workflows. The aim of the workshops is to increase computing skills within the DS-I Africa consortium in containerization, workflows and HPC. The workshop will be run in person, from the 2nd – 6 th of October 2023, at the University of the Witwatersrand, Johannesburg, South Africa

Training application

Competitive application

Skill level of training

Specialised/Advanced

Language

English

Credential awarded

Workshop certificate

Type of training

Face-to-face

Venue

University of the Witwatersrand, Johannesburg, South Africa

Application opening date

Monday 19th of June 2023

Application closing date

Monday 17th of July 2023 - 23:59:59 CAT

Notification date for successful applicants

Monday 24th of July 2023

Organisers

Sindiswa Lukhele, Tshinakaho Malesa, Shakuntala Baichoo, Ben Vizzier, Scott Hazelhurst, Sumir Panji, Nicola Mulder

Sponsors

eLwazi ODSP and MADIVA

Intended Audience

This workshop intends to train and capacitate African data scientists from the DS-I
Africa research and training grant projects that will use the tools as part of their analysis and research.
The workshop is aimed at the intermediate/advanced level and will be most useful to 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.

Selection criteria / process

Competitive application

Prerequisites

● 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
● Specific use cases for the processing and analysis of data

Learning outcomes

After this workshop participants should:
● Be familiar with containerization technologies and applications
● Be able to containerize and deploy analysis tools on different environments
● Be familiar with workflow languages and its applications
● Be able to create workflows for their specific analysis use case
● Be familiar with Dockstore and how to submit and pull workflows

Limitations

This workshop will only provide a foundational basis for continued learning and application of containerization and workflows for research data analysis and will not make one an expert in these technologies, or cover any specific data analysis methods.

To apply, please Click HERE