http://hdl.handle.net/10400.7/852 Group activity: 1999-Present. Sat, 07 Mar 2020 13:49:46 GMT 2020-03-07T13:49:46Z http://hdl.handle.net/10400.7/856 Título: Designing a course model for distance-based online bioinformatics training in Africa: The H3ABioNet experience Autor: Gurwitz, Kim T.; Aron, Shaun; Panji, Sumir; Maslamoney, Suresh; Fernandes, Pedro L.; Judge, David P.; Ghouila, Amel; Domelevo Entfellner, Jean-Baka; Guerfali, Fatma Z.; Saunders, Colleen; Mansour Alzohairy, Ahmed; Salifu, Samson P.; Ahmed, Rehab; Cloete, Ruben; Kayondo, Jonathan; Ssemwanga, Deogratius; Mulder, Nicola Resumo: Africa is not unique in its need for basic bioinformatics training for individuals from a diverse range of academic backgrounds. However, particular logistical challenges in Africa, most notably access to bioinformatics expertise and internet stability, must be addressed in order to meet this need on the continent. H3ABioNet (www.h3abionet.org), the Pan African Bioinformatics Network for H3Africa, has therefore developed an innovative, free-of-charge "Introduction to Bioinformatics" course, taking these challenges into account as part of its educational efforts to provide on-site training and develop local expertise inside its network. A multiple-delivery-mode learning model was selected for this 3-month course in order to increase access to (mostly) African, expert bioinformatics trainers. The content of the course was developed to include a range of fundamental bioinformatics topics at the introductory level. For the first iteration of the course (2016), classrooms with a total of 364 enrolled participants were hosted at 20 institutions across 10 African countries. To ensure that classroom success did not depend on stable internet, trainers pre-recorded their lectures, and classrooms downloaded and watched these locally during biweekly contact sessions. The trainers were available via video conferencing to take questions during contact sessions, as well as via online "question and discussion" forums outside of contact session time. This learning model, developed for a resource-limited setting, could easily be adapted to other settings. Descrição: This publication hasn't any creative commons license associated.; This deposit is composed by the main article plus the supplementary materials of the publication.; This deposit is composed by a publication in which the IGC's authors have had the role of collaboration (it's a collaboration publication). This type of deposit in ARCA is in restrictedAccess (it can't be in open access to the public), and can only be accessed by two ways: either by requesting a legal copy from the author (the email contact present in this deposit) or by visiting the following link: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005715#sec022 Thu, 05 Oct 2017 00:00:00 GMT http://hdl.handle.net/10400.7/856 2017-10-05T00:00:00Z http://hdl.handle.net/10400.7/854 Título: Open Science, Open Data, Open Source Autor: Vos, Rutger A.; Fernandes, Pedro L. Resumo: Making research findings available free of charge for all readers has been a major challenge identified by the European Commission. Several initiatives have been made to facilitate scientific data to the community. But has science progresses, the volume of data and platforms where information can be found also increases. The task of searching for data can be overwhelming. Pedro Fernandes, IGC member and Coordinator of the GTPB - the Gulbenkian Training Programme in Bioinformatics, and Rutger Vos, from Naturalis Biodiversity Center, set to tackle this problem by creating useful information to help producing, storing, managing and finding scientific information in open resources. Their efforts resulted in 'Open Science, Open Data, Open Source - 21st century research skills for the life sciences', an e-book that can be freely used by the scientific community, policy-makers, funding agencies, among others. Tue, 17 Oct 2017 00:00:00 GMT http://hdl.handle.net/10400.7/854 2017-10-17T00:00:00Z