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Course Overview/description:
H3ABioNet is planning to host a 5-day, in-person workshop, which will take place in Cape Town from 23-27 October 2023. During this workshop we aim to teach participants how to implement the various components of our popular “Multiple-Delivery-Approach Learning Model” within their regions/projects. The workshop will cover several themes from designing your training for a blended/distributed classroom model, to best practices for administrative processes and managing distributed cohorts. The workshop will be incredibly hands-on, and will assume some familiarity with training models and processes, but would be best suited to those who aim to implement the model and have the capacity to do so.
Keywords: Education, Blended learning, Training, Train-the-Trainer
Skill level of training: Introductory
Language: Course is offered in English
Credential awarded: Workshop certificate
Type of training: face-to-face – course will run in person in Cape Town, South Africa
Dates for the workshop: 22 – 27 October 2023; 9 am - 5pm
Workshop organizers: Verena Ras, Shaun Aron, Sindiswa Lukhele, Tshinakaho Malesa, Pertunia Mutheiwana, Sumir Panji, Nicola Mulder
Registration opens: This is a closed training event. Participation by invitation only!
Workshop Sponsors: H3ABioNet
Intended Audience: The course will be aimed at those who have recently completed the WCS/H3ABioNet/Elixir/EBI TtT course in 2022 OR the applicant must show a strong willingness and desire to deliver bioinformatics training in their region and be able to run the model post training. Must also be in a position where they can implement the model immediately i.e. should preferably have a staff position.
Syllabus and Tools:
Workshop Schedule
Day 1 |
|
Monday, 23 October |
|
Time |
Topic/presentation |
9:00 - 9:25 |
General welcome to the workshop |
9:25 - 10:25 |
Ice-breaker/ breaking into groups |
10:30 - 11:00 |
Tea/coffee |
11:00 - 12:45 |
Recap of general training theory and course design |
12:45 - 13:45 |
Lunch |
13:45 - 15:00 |
Recap of general training theory and course design (cont.) |
15:00 - 15:30 |
Tea/Coffee |
15:30 - 17:00 |
Lecture/practical activity for participants |
Day 2 |
|
Tuesday, 24 October |
|
Time |
Topic/presentation |
9:00 - 9:45 |
The IBT Model |
9:45 - 10:30 |
Planning & Development |
10:30 - 11:00 |
Tea/coffee |
11:00 - 12:45 |
Planning & Development |
12:45 - 13:45 |
Lunch |
13:45 - 15:00 |
Group activity: Preparing your project plan and project folders |
15:00 - 15:30 |
Tea/Coffee |
15:30 - 17:00 |
Groups report back on project plan |
Day 3 |
|
Wednesday, 25 October |
|
Time |
Topic/presentation |
9:00 - 10:30 |
Sending Out Calls |
10:30 - 11:00 |
Tea/coffee |
11:00 - 12:45 |
Sending Out Calls |
12:45 - 13:45 |
Lunch |
13:45 - 15:00 |
Selections |
15:00 - 15:30 |
Tea/Coffee |
15:30 - 17:00 |
Groups work on project plan and project folders |
Day 4 |
|
Thursday, 26 October |
|
Time |
Topic/presentation |
9:00 - 10:30 |
Setting up distributed classrooms |
10:30 - 11:00 |
Tea/coffee |
11:00 - 12:45 |
Setting up distributed classrooms |
12:45 - 13:45 |
Lunch |
13:45 - 15:00 |
Running/managing classrooms |
15:00 - 15:30 |
Tea/Coffee |
15:30 - 17:00 |
Groups work on project plan and project folders |
Day 5 |
|
Friday, 27 October |
|
Time |
Topic/presentation |
9:00 - 10:30 |
Post Training |
10:30 - 11:00 |
Tea/coffee |
11:00 - 12:45 |
Groups Presentations and Feedback |
12:45 - 13:45 |
Lunch |
13:45 - 15:00 |
What next? |
15:00 - 15:30 |
Tea/Coffee |
15:30 - 17:00 |
Brainstorming session |
Prerequisites:
Learning objectives/outcomes:
On completion of the course, participants should be able to:
Workshop limitations: This workshop will only provide participants with the skills to initiate their own distributed learning model training. The workshop will not make provision for ongoing use of tools like learning management sites etc. and participants are encouraged to investigate resources that are easily available and accessible within their own regions/countries.
Training material availability:
Training materials for this course will be available soon. Should you re-use any of these materials, please ensure that both the author/s of the material AND H3ABioNet are clearly credited.
Course Overview: The Research Data Management (RDM) short course introduces the principles and practices of RDM and practical advice for implementing these practices in African research context. Topics covered include data discovery and re-use, data documentation and organization, data standards and Ontology, data storage and security, repositories and policies, FAIR & reproducibility and best practices in developing an effective data management plan (DMP).
Intended Audience: The course is aimed at the graduate students and biomedical scientists who are currently working on clinical, genomics and bioinformatics projects in Africa. The course is also aimed at those working in the field of data science.
Skill level of training: Beginner
Language: The course and materials are offered in English
Prerequisites: A basic background/understanding of biochemistry, molecular biology and/or genetics. Those with a computer science background with experience in bioinformatics are welcome to apply.
Type of training: Online
Venue of course: Zoom.
Dates for the course: 26-29 June 2023; from 10:00 CAT to 14:00 CAT.
Course organizers: Faisal Fadlelmola, Katherine Johnston, Verena Ras, Melek Chaouch, Lyndon Zass, Ziyaad Parker, Ayton Meintjes, Sumir Panji and Nicola Mulder.
Participation: The course is available to any participant who is able to attend the Zoom sessions and the interactive hours with the course instructors for the days of the course.
Course Sponsors: H3ABioNet
Objectives: After this RDM short course participants should be able to:
Course limitations: This course will only provide a foundation for continued learning in research data management and will not teach any advanced RDM aspects.
Applications are now closed
Training materials availability: Training materials for this course are not currently available.
Module 1: Data & research life cycle
Module 2: Curation, data types and privacy issues
Module 3: Standards, taxonomy & Ontology
Module 4: Preservation, repositories, security and policies
Module 5: FAIR & Reproducibility
Module 6: Data transfers, encryption and sharing
Module 7: Data Management Plan (DMP)
Date |
Session 1 10:00-11:00am (CAT) |
Session 2 11:00-12:00am (CAT) |
Session 3 12:00-1:00pm (CAT)
|
Interactive Session with Instructor/s 1:00-2:00pm (CAT) |
Monday 26 June 2023 |
Module 1: Introduction to Research Data Management |
Module 2.1: Data Types & Data Curation |
Module 2.2: Data privacy |
Faisal Fadlelmola; Katherine Johnston & Verena Ras |
Tuesday 27 June 2023 |
Module 3: Standards, taxonomy & Ontology |
Module 4.1: Lecture |
Module 4.2: Lecture |
Lyndon Zass; Ayton Meintjes and Ziyaad Parker |
Wednesday 28 June 2023 |
Module 5.1: Lecture |
Module 5.2: FAIR Tutorial |
Module 6: Data transfers, encryption and sharing |
Gerrit Botha; Suresh Maslamoney; Melek Chaouch & Ziyaad Parker (Interactive session) |
Thursday 29 June 2023 |
Module 7.1: Lecture |
Module 7.2: DMP Tutorial Grp A |
Module 7.3: DMP Tutorial Grp B |
Faisal Fadlelmola; Ayton Meintjes |
Course Overview:
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover an introduction to The Shell, Python and R. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Keywords: Carpentries, programming, coding, novice, R, Python, linux
Skill level of training: Beginner
Language: English
Venue of workshop: Online via Zoom; link will be communicated to those who are accepted.
Dates for the workshop: 14 - 18 March 2022 from ~10 am – 2:30 pm all days
Registration opens: 02 March 2022 | Registration closes: 09 March 2022 | Notification date: 10 March 2022
Link to application form: This is a closed workshop aimed at students and staff at the Faculty of Health Sciences at the University of Cape Town.
Workshop trainers: Lyndon Zass, Ruth Nanjala, Verena Ras, Ichrak Benamri, Nihad Alsayed, Melek Chaouch, Ziyaad Parker, Mamana Mbiyavanga
Workshop organisers: H3ABioNet, Verena Ras, Lyndon Zass, Nicola Martin, Darren Martin
Workshop Sponsors: H3ABioNet
Intended Audience: UCT Computational Biology Honour’s cohort + anyone else from within UCT Health Sciences who may be interested
Syllabus and Tools: please see workshop website: https://verena90.github.io/2022-03-14-online-UCT_Med/
Prerequisites: As this is presented at a novice level, no prerequisites are required but you will need to have access to a laptop where you are able to install the required software (R, Python, shell terminal). You will also need good internet access to ensure you are able to be online for the full course.
Workshop limitations: This workshop will only provide a foundation in Linux, R and Python but will not teach any advanced coding or programming. Should this be what you require, this may not be the appropriate course for you.
Training Materials Availability:
Training materials used for this course were not directly produced by H3ABioNet but may be accessed here: https://verena90.github.io/2022-03-14-online-UCT_Med/. Please note, these materials may be governed by different sharing/re-use policies, and you are encouraged to follow the policies of the external providers regarding material re-use and/or sharing.
Course Overview: The Research Data Management (RDM) short course introduces the principles and practices of RDM and practical advice for implementing these practices in African research context. Topics covered include data discovery and re-use, data documentation and organization, data standards and Ontology, data storage and security, repositories and policies, FAIR & reproducibility and best practices in developing an effective DMP.
Intended Audience: The course is aimed at the graduate students and biomedical scientists who are currently working on clinical, genomics and bioinformatics projects in Africa.
Skill level of training: Beginner
Language: The course and materials are offered in English
Prerequisites: A basic background/understanding of biochemistry, molecular biology and/or genetics. Those with a computer science background with experience in bioinformatics are welcome to apply.
Type of training: Online
Venue of course: Zoom.
Dates for the course: 27-30 June 2022; from 10:00 CAT to 14:00 CAT.
Course organizers: Faisal Fadlelmola, Katherine Johnston, Verena Ras, Melek Chaouch, Lyndon Zass, Ziyaad Parker, Ayton Meintjes, Sumir Panji and Nicola Mulder
Participation: The course is available to any participant who is able to attend the Zoom sessions and the interactive hours with the course instructors for the days of the course.
Course Sponsors: H3ABioNet
Objectives: After this RDM short course participants should be able to:
Course limitations: This course will only provide a foundation for continued learning in research data management and will not teach any advanced RDM aspects.
Applications are now closed
Training materials availability: Training materials for this course are not currently available.
Course Curriculum:
Module 1: Data & research life cycle
Module 2: Curation, data types and privacy issues
Module 3: Standards, taxonomy & Ontology
Module 4: Preservation, repositories, security and policies
Module 5: FAIR & Reproducibility
Module 6: Data Management Plan (DMP)
Course Schedule:
Date |
Session 1 10:00-11:00am CAT |
Session 2 11:00-12:00am CAT |
Session 3 12:00-1:00pm CAT |
Interactive hour with Instructor/s (1:00-2:00PM CAT) |
Monday 27 June 2022 |
Module1: Lecture |
Module 2: L1 |
Module 2: L2 |
Faisal; Katherine & Verena |
Tuesday 28 June 2022 |
Module 3: Lecture |
Module 4: L1 |
Module 4: L2 |
Lyndon & Verena; Ayton and Ziyaad |
Wednesday 29 June 2022 |
Module 5: Lecture |
Module 5: FAIR Tutorial |
Melek & Ziyaad |
|
Thursday 30 June 2022 |
Module 6: Lecture |
Module 6: DMP Tutorial - Group A |
Module 6: DMP Tutorial - Group B |
Faisal; Ayton |
Course Overview:
The Research Data Management (RDM) short course will introduce the principles and practices of RDM and provide practical advice for implementing these practices in an African research context. Topics covered will include data discovery and re-use, data documentation and organization, data standards and Ontology, data storage and security, repositories and policies, FAIR & reproducibility and best practices in developing an effective Data Management Plan.
Intended Audience: The course is aimed at graduate students and biomedical scientists who are currently working on clinical genomics and bioinformatics projects in Africa.
Skill level of training: Beginner
Language: The course and materials are offered in English
Type of training: Online
Venue of course: Zoom.
Dates for the course: 22-25 June 2021; from 10:00 CAT to 14:00 CAT.
Course organisers: Faisal Fadlelmola, Katherine Johnston, Verena Ras, Melek Chaouch, Lyndon Zass, Ziyaad Parker, Ayton Meintjes, Sumir Panji and Nicola Mulder
Participation: The course is available to any participant who is able to attend the Zoom sessions and the interactive hours with the course instructors for the days of the course.
Course Sponsors: H3ABioNet
Prerequisites: A basic background/understanding of biochemistry, molecular biology and/or genetics. Those with a computer science background with experience in bioinformatics are welcome to apply.
Objectives: After this RDM short course participants should be able to:
Course limitations: This course will only provide a foundation for continued learning in research data management and will not teach any advanced RDM aspects.
Applications are now closed
Training materials availability: Training materials for this course are not currently available.
Course curriculum
Course schedule:
Date |
Session 1 (45 minutes) |
Session 2 (45 minutes) |
Session 3 (45 minutes) |
Interactive hour with Instructor/s (1:00-2:00PM CAT) |
Tuesday 22 June 2021 |
Module1: Lecture |
Module 2: L1 |
Module 2: L2 |
Faisal; Katherine & Verena |
Wednesday 23 June 2021 |
Module 3: Lecture |
Module 4: L1 |
Module 4: L2 |
Lyndon; Ayton & Ziyaad |
Thursday 24 June 2021 |
Module 5: Lecture |
Module 5: FAIR Tutorial |
Melek & Ziyaad |
|
Friday 25 June 2021 |
Module 6: Lecture |
Module 6: DMP Tutorial |
Faisal |
Training Materials Availability:
Training materials for this training will be loaded to the website shortly.
Tools and Services
Communication