Evidence map›Paper›PMID 31888443›Full record

ArticleBMC bioinformatics2019

The H3ABioNet helpdesk: an online bioinformatics resource, enhancing Africa's capacity for genomics research.

Judit Kumuthini, Lyndon Zass, Sumir Panji, Samson P Salifu, Jonathan K Kayondo, Victoria Nembaware, Mamana Mbiyavanga, Ajayi Olabode, Ali Kishk, Gordon Wells and 2 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Judit KumuthiniCentre for Proteomic and Genomic Research, Cape Town, Western Cape, South Africa. jkumuthini@gmail.com.
Lyndon ZassCentre for Proteomic and Genomic Research, Cape Town, Western Cape, South Africa.
Sumir PanjiComputational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
Samson P SalifuKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Jonathan K KayondoUganda Virus Research Institute, Entebbe, Uganda.
Victoria NembawareComputational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
Mamana MbiyavangaComputational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
Ajayi OlabodeCentre for Proteomic and Genomic Research, Cape Town, Western Cape, South Africa.
Ali KishkCenter for Informatics Science, Nile University, 6th October City, Egypt.
Gordon WellsCentre for Proteomic and Genomic Research, Cape Town, Western Cape, South Africa.
Nicola J MulderComputational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
as members of the Sustainability and Outreach Work Package of the H3ABioNet Consortium

Funding

H3ABioNet: a sustainable African Bioinformatics Network for H3AfricaU41HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2012 to 2017
$14.8M
H3ABioNet: informatics solutions for H3AfricaU24HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2017 to 2021
$12.9M
NHGRI NIH HHS U24 HG006941NHGRI NIH HHS U41 HG006941NIH HHS U41HG006941, U24HG006941
6 · The paper itself

Abstract

backgroundCurrently, 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.

resultsThe 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.

conclusionTo 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.

Indexed as

User-Computer InterfaceAfricaComputational BiologyGenomicsResearchBioinformatics supportGenomics supportH3ABioNetH3AfricaHelpdesk

Identifiers

PMID31888443
PMCPMC6937968

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.