A framework to assess the quality and impact of bioinformatics training across ELIXIR.

Details

Serval ID
serval:BIB_3B57279FB31E
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A framework to assess the quality and impact of bioinformatics training across ELIXIR.
Journal
PLoS computational biology
Author(s)
Gurwitz K.T., Singh Gaur P., Bellis L.J., Larcombe L., Alloza E., Balint B.L., Botzki A., Dimec J., Dominguez Del Angel V., Fernandes P.L., Korpelainen E., Krause R., Kuzak M., Le Pera L., Leskošek B., Lindvall J.M., Marek D., Martinez P.A., Muyldermans T., Nygård S., Palagi P.M., Peterson H., Psomopoulos F., Spiwok V., van Gelder CWG, Via A., Vidak M., Wibberg D., Morgan S.L., Rustici G.
ISSN
1553-7358 (Electronic)
ISSN-L
1553-734X
Publication state
Published
Issued date
07/2020
Peer-reviewed
Oui
Volume
16
Number
7
Pages
e1007976
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
ELIXIR is a pan-European intergovernmental organisation for life science that aims to coordinate bioinformatics resources in a single infrastructure across Europe; bioinformatics training is central to its strategy, which aims to develop a training community that spans all ELIXIR member states. In an evidence-based approach for strengthening bioinformatics training programmes across Europe, the ELIXIR Training Platform, led by the ELIXIR EXCELERATE Quality and Impact Assessment Subtask in collaboration with the ELIXIR Training Coordinators Group, has implemented an assessment strategy to measure quality and impact of its entire training portfolio. Here, we present ELIXIR's framework for assessing training quality and impact, which includes the following: specifying assessment aims, determining what data to collect in order to address these aims, and our strategy for centralised data collection to allow for ELIXIR-wide analyses. In addition, we present an overview of the ELIXIR training data collected over the past 4 years. We highlight the importance of a coordinated and consistent data collection approach and the relevance of defining specific metrics and answer scales for consortium-wide analyses as well as for comparison of data across iterations of the same course.
Pubmed
Open Access
Yes
Create date
11/08/2020 10:58
Last modification date
27/01/2021 6:27
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