Your browser doesn't support javascript.
loading
The H3ABioNet helpdesk: an online bioinformatics resource, enhancing Africa's capacity for genomics research.
Kumuthini, Judit; Zass, Lyndon; Panji, Sumir; Salifu, Samson P; Kayondo, Jonathan K; Nembaware, Victoria; Mbiyavanga, Mamana; Olabode, Ajayi; Kishk, Ali; Wells, Gordon; Mulder, Nicola J.
Afiliación
  • Kumuthini J; Centre for Proteomic and Genomic Research, Cape Town, Western Cape, South Africa. jkumuthini@gmail.com.
  • Zass L; Centre for Proteomic and Genomic Research, Cape Town, Western Cape, South Africa.
  • Panji S; Computational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
  • Salifu SP; Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
  • Kayondo JK; Uganda Virus Research Institute, Entebbe, Uganda.
  • Nembaware V; Computational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
  • Mbiyavanga M; Computational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
  • Olabode A; Centre for Proteomic and Genomic Research, Cape Town, Western Cape, South Africa.
  • Kishk A; Center for Informatics Science, Nile University, 6th October City, Egypt.
  • Wells G; Centre for Proteomic and Genomic Research, Cape Town, Western Cape, South Africa.
  • Mulder NJ; Computational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
BMC Bioinformatics ; 20(1): 741, 2019 Dec 30.
Article en En | MEDLINE | ID: mdl-31888443
ABSTRACT

BACKGROUND:

Currently, formal mechanisms for bioinformatics support are limited. The H3Africa Bioinformatics Network has implemented a public and freely available Helpdesk (HD), which provides generic bioinformatics support to researchers through an online ticketing platform. The following article reports on the H3ABioNet HD (H3A-HD)'s development, outlining its design, management, usage and evaluation framework, as well as the lessons learned through implementation.

RESULTS:

The H3A-HD evaluated using automatically generated usage logs, user feedback and qualitative ticket evaluation. Evaluation revealed that communication methods, ticketing strategies and the technical platforms used are some of the primary factors which may influence the effectivity of HD.

CONCLUSION:

To continuously improve the H3A-HD services, the resource should be regularly monitored and evaluated. The H3A-HD design, implementation and evaluation framework could be easily adapted for use by interested stakeholders within the Bioinformatics community and beyond.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Biología Computacional Tipo de estudio: Qualitative_research País/Región como asunto: Africa Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Sudáfrica

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Biología Computacional Tipo de estudio: Qualitative_research País/Región como asunto: Africa Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Sudáfrica