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Building Awareness and Capacity of Bioinformatics and Open Science Skills in Kenya: a Sensitize, Train, Hack, and Collaborate Model

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Date 2023 Jun 16
PMID 37324282
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Abstract

We have applied the sensitize-train-hack-community model to build awareness of and capacity in bioinformatics in Kenya. Open science is the practice of science openly and collaboratively, with tools, techniques, and data freely shared to facilitate reuse and collaboration. Open science is not a mandatory curriculum course in schools, whereas bioinformatics is relatively new in some African regions. Open science tools can significantly enhance bioinformatics, leading to increased reproducibility. However, open science and bioinformatics skills, especially blended, are still lacking among students and researchers in resource-constrained regions. We note the need to be aware of the power of open science among the bioinformatics community and a clear strategy to learn bioinformatics and open science skills for use in research. Using the OpenScienceKE framework-Sensitize, Train, Hack, Collaborate/Community-the BOSS (Bioinformatics and Open Science Skills) virtual events built awareness and empowered researchers with the skills and tools in open science and bioinformatics. Sensitization was achieved through a symposium, training through a workshop and train-the-trainer program, hack through mini-projects, community through conferences, and continuous meet-ups. In this paper, we discuss how we applied the framework during the BOSS events and highlight lessons learnt in planning and executing the events and their impact on the outcome of each phase. We evaluate the impact of the events through anonymous surveys. We show that sensitizing and empowering researchers with the skills works best when the participants apply the skills to real-world problems: project-based learning. Furthermore, we have demonstrated how to implement virtual events in resource-constrained settings by providing Internet and equipment support to participants, thus improving accessibility and diversity.

References
1.
Langat S, Eyase F, Bulimo W, Lutomiah J, Oyola S, Imbuga M . Profiling of RNA Viruses in Biting Midges () and Related Diptera from Kenya Using Metagenomics and Metabarcoding Analysis. mSphere. 2021; 6(5):e0055121. PMC: 8513680. DOI: 10.1128/mSphere.00551-21. View

2.
Chang Y, Liu H, Liu M, Liao X, Sahu S, Fu Y . The draft genomes of five agriculturally important African orphan crops. Gigascience. 2018; 8(3). PMC: 6405277. DOI: 10.1093/gigascience/giy152. View

3.
Ball P . The lightning-fast quest for COVID vaccines - and what it means for other diseases. Nature. 2020; 589(7840):16-18. DOI: 10.1038/d41586-020-03626-1. View

4.
Jjingo D, Mboowa G, Sserwadda I, Kakaire R, Kiberu D, Amujal M . Bioinformatics mentorship in a resource limited setting. Brief Bioinform. 2021; 23(1). PMC: 8769693. DOI: 10.1093/bib/bbab399. View

5.
Ras V, Botha G, Aron S, Lennard K, Allali I, Claassen-Weitz S . Using a multiple-delivery-mode training approach to develop local capacity and infrastructure for advanced bioinformatics in Africa. PLoS Comput Biol. 2021; 17(2):e1008640. PMC: 7906323. DOI: 10.1371/journal.pcbi.1008640. View