A framework to assess the quality and impact of bioinformatics training across ELIXIR
Kim Gurwitz
(1)
,
Prakash Singh Gaur
(2)
,
Louisa Bellis
(1)
,
Lee Larcombe
(3)
,
Eva Alloza
(4)
,
Balint Laszlo Balint
(5)
,
Alexander Botzki
(6)
,
Jure Dimec
(7)
,
Victoria Dominguez del Angel
(8)
,
Pedro Fernandes
(9)
,
Eija Korpelainen
(10)
,
Roland Krause
(11)
,
Mateusz Kuzak
(12)
,
Loredana Le Pera
(13)
,
Brane Leskošek
(7)
,
Jessica Lindvall
(14)
,
Diana Marek
(15)
,
Paula Martinez
(6)
,
Tuur Muyldermans
(6)
,
Ståle Nygård
(16)
,
Patricia Palagi
(14)
,
Hedi Peterson
(17)
,
Fotis Psomopoulos
(18)
,
Vojtech Spiwok
(19)
,
Celia van Gelder
(12)
,
Allegra Via
(20)
,
Marko Vidak
(7)
,
Daniel Wibberg
(21)
,
Sarah Morgan
(2)
,
Gabriella Rustici
(1)
1
Department of Genetics [Cambridge]
2 EMBL-EBI - European Bioinformatics Institute [Hinxton]
3 MRC Human Genetics Unit
4 BSC-CNS - Barcelona Supercomputing Center - Centro Nacional de Supercomputacion
5 Department of Biochemistry and Molecular Biology
6 Flanders Interuniversity Institute for Biotechnology (VIB)
7 Institute for Biostatistics and Medical Informatics
8 URGI - Unité de Recherche Génomique Info
9 IGC - Instituto Gulbenkian de Ciência [Oeiras]
10 CSC - IT Center for Science [Espoo]
11 LCSB - Luxembourg Centre For Systems Biomedicine
12 Dutch Techcentre for Life Sciences [Utrecht]
13 IBIOM - Bioenergetics and Molecular Biotechnologies
14 NBIS - National Bioinformatics Infrastructure Sweden
15 SIB - Swiss Institute of Bioinformatics [Lausanne]
16 Department of Informatics [Oslo]
17 Institute of Computer Science [University of Tartu, Estonie]
18 Institute of Applied Biosciences
19 Department of Biochemistry and Microbiology
20 CNR | IBPM - CNR Istituto di Biologia e Patologia Molecolari [Roma]
21 Genome Research of Industrial Microorganisms
2 EMBL-EBI - European Bioinformatics Institute [Hinxton]
3 MRC Human Genetics Unit
4 BSC-CNS - Barcelona Supercomputing Center - Centro Nacional de Supercomputacion
5 Department of Biochemistry and Molecular Biology
6 Flanders Interuniversity Institute for Biotechnology (VIB)
7 Institute for Biostatistics and Medical Informatics
8 URGI - Unité de Recherche Génomique Info
9 IGC - Instituto Gulbenkian de Ciência [Oeiras]
10 CSC - IT Center for Science [Espoo]
11 LCSB - Luxembourg Centre For Systems Biomedicine
12 Dutch Techcentre for Life Sciences [Utrecht]
13 IBIOM - Bioenergetics and Molecular Biotechnologies
14 NBIS - National Bioinformatics Infrastructure Sweden
15 SIB - Swiss Institute of Bioinformatics [Lausanne]
16 Department of Informatics [Oslo]
17 Institute of Computer Science [University of Tartu, Estonie]
18 Institute of Applied Biosciences
19 Department of Biochemistry and Microbiology
20 CNR | IBPM - CNR Istituto di Biologia e Patologia Molecolari [Roma]
21 Genome Research of Industrial Microorganisms
Fotis Psomopoulos
- Fonction : Auteur
- PersonId : 772784
- ORCID : 0000-0002-0222-4273
Gabriella Rustici
Connectez-vous pour contacter l'auteur
- Fonction : Auteur correspondant
- PersonId : 1098078
Connectez-vous pour contacter l'auteur
Résumé
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.