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

Authors :
Gurwitz, Kim T.
Gaur, Prakash Singh
Bellis, Louisa J.
Larcombe, Lee
Alloza, Eva
Balint, Balint Laszlo
Botzki, Alexander
Dimec, Jure
del Angel, Victoria Dominguez
Fernandes, Pedro L.
Korpelainen, Eija
Krause, Roland
Kuzak, Mateusz
Le Pera, Loredana
Leskošek, Brane
Lindvall, Jessica M.
Marek, Diana
Martinez, Paula A.
Muyldermans, Tuur
Nygård, Ståle
Palagi, Patricia M.
Peterson, Hedi
Psomopoulos, Fotis
Spiwok, Vojtech
van Gelder, Celia W. G.
Via, Allegra
Vidak, Marko
Wibberg, Daniel
Morgan, Sarah L.
Rustici, Gabriella
Gurwitz, Kim T.
Gaur, Prakash Singh
Bellis, Louisa J.
Larcombe, Lee
Alloza, Eva
Balint, Balint Laszlo
Botzki, Alexander
Dimec, Jure
del Angel, Victoria Dominguez
Fernandes, Pedro L.
Korpelainen, Eija
Krause, Roland
Kuzak, Mateusz
Le Pera, Loredana
Leskošek, Brane
Lindvall, Jessica M.
Marek, Diana
Martinez, Paula A.
Muyldermans, Tuur
Nygård, Ståle
Palagi, Patricia M.
Peterson, Hedi
Psomopoulos, Fotis
Spiwok, Vojtech
van Gelder, Celia W. G.
Via, Allegra
Vidak, Marko
Wibberg, Daniel
Morgan, Sarah L.
Rustici, Gabriella
Publication Year :
2020

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1235049608
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1371.journal.pcbi.1007976