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

Authors :
Eija Korpelainen
Allegra Via
Marko Vidak
Brane Leskošek
Lee Larcombe
Louisa J. Bellis
Mateusz Kuzak
Loredana Le Pera
Patricia M. Palagi
Paula Martinez
Celia W.G. van Gelder
Sarah L. Morgan
Tuur Muyldermans
Jessica M. Lindvall
Gabriella Rustici
Kim T. Gurwitz
Hedi Peterson
Alexander Botzki
Roland Krause
Fotis Psomopoulos
Victoria Dominguez Del Angel
Balint L. Balint
Ståle Nygård
Diana Marek
Eva Alloza
Daniel Wibberg
Pedro Fernandes
Prakash Singh Gaur
Jure Dimec
Vojtech Spiwok
Barcelona Supercomputing Center
Department of Genetics [Cambridge]
University of Cambridge [UK] (CAM)
European Bioinformatics Institute [Hinxton] (EMBL-EBI)
EMBL Heidelberg
MRC Human Genetics Unit
University of Edinburgh-Western General Hospital
Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS)
Department of Biochemistry and Molecular Biology
University of Debrecen
Flanders Interuniversity Institute for Biotechnology (VIB)
Institute for Biostatistics and Medical Informatics
Faculty of Medicine
University of Ljubljana -University of Ljubljana
Unité de Recherche Génomique Info (URGI)
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Instituto Gulbenkian de Ciência [Oeiras] (IGC)
Fundação Calouste Gulbenkian
CSC - IT Center for Science Ltd
Luxembourg Centre For Systems Biomedicine (LCSB)
University of Luxembourg [Luxembourg]
Dutch Techcentre for Life Sciences [Utrecht]
Bioenergetics and Molecular Biotechnologies ( IBIOM)
Institute of Biomembranes
National Research Council of Italy (CNR)-National Research Council of Italy (CNR)
National Bioinformatics Infrastructure Sweden (NBIS)
Science for Life Laboratory
Department of Biochemistry and Biophysics
Stockholm University-Stockholm University-Department of Biochemistry and Biophysics
Stockholm University-Stockholm University
Swiss Institute of Bioinformatics [Lausanne] (SIB)
Université de Lausanne (UNIL)
Department of Informatics [Oslo]
Faculty of Mathematics and Natural Sciences [Oslo]
University of Oslo (UiO)-University of Oslo (UiO)
Institute of Computer Science [University of Tartu, Estonie]
University of Tartu
Institute of Applied Biosciences
Karlsruhe Institute of Technology (KIT)
Department of Biochemistry and Microbiology
University of Chemistry and Technology Prague (UCT Prague)
Institute of Molecular Biology and Pathology (IBPM)
Consiglio Nazionale delle Ricerche (CNR)
Genome Research of Industrial Microorganisms
Universität Bielefeld = Bielefeld University
European Commission within the Research Infrastructures programme of Horizon 2020 676559
Gurwitz, Kim T [0000-0003-1992-5073]
Singh Gaur, Prakash [0000-0003-3272-628X]
Bellis, Louisa J [0000-0001-9581-870X]
Larcombe, Lee [0000-0003-3150-6445]
Alloza, Eva [0000-0001-8385-9336]
Botzki, Alexander [0000-0001-6691-4233]
Dimec, Jure [0000-0002-9525-9028]
Dominguez Del Angel, Victoria [0000-0002-5514-6651]
Fernandes, Pedro L [0000-0003-2124-0241]
Krause, Roland [0000-0001-9938-7126]
Kuzak, Mateusz [0000-0003-0087-6021]
Le Pera, Loredana [0000-0002-0076-9878]
Leskošek, Brane [0000-0001-5202-2349]
Lindvall, Jessica M [0000-0002-5042-8481]
Marek, Diana [0000-0002-9812-6351]
Martinez, Paula A [0000-0002-8990-1985]
Muyldermans, Tuur [0000-0002-3926-7293]
Palagi, Patricia M [0000-0001-9062-6303]
Peterson, Hedi [0000-0001-9951-5116]
Psomopoulos, Fotis [0000-0002-0222-4273]
Spiwok, Vojtech [0000-0001-8108-2033]
van Gelder, Celia WG [0000-0002-0223-2329]
Vidak, Marko [0000-0001-7901-3936]
Wibberg, Daniel [0000-0002-1331-4311]
Morgan, Sarah L [0000-0001-9528-8323]
Rustici, Gabriella [0000-0003-3085-1271]
Apollo - University of Cambridge Repository
Source :
PLoS Computational Biology, PLoS Computational Biology, Public Library of Science, 2020, 16 (7), pp.e1007976. ⟨10.1371/journal.pcbi.1007976⟩, PLOS computational biology (Online) 16 (2020). doi:10.1371/journal.pcbi.1007976, info:cnr-pdr/source/autori:Kim T. Gurwitz1, Prakash Singh Gaur2, Louisa J. Bellis1, Lee Larcombe3, Eva Alloza4, Balint Laszlo Balint5, Alexander Botzki6, Jure Dimec7, Victoria Dominguez del Angel8, Pedro L. Fernandes9, Eija Korpelainen10, Roland Krause11, Mateusz Kuzak12, Loredana Le Pera13, Brane Leskos?ek7, Jessica M. Lindvall14, Diana Marek15, Paula A. Martinez6, Tuur Muyldermans6, Ståle Nygård16, Patricia M. Palagi15, Hedi Peterson17, Fotis Psomopoulos18, Vojtech Spiwok19, Celia W. G. van Gelder12, Allegra Via20, Marko Vidak7, Daniel Wibberg21, Sarah L. Morgan2, Gabriella Rustici1*/titolo:A framework to assess the quality and impact of bioinformatics training across ELIXIR/doi:10.1371%2Fjournal.pcbi.1007976/rivista:PLOS computational biology (Online)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:16, PLoS computational biology, vol. 16, no. 7, pp. e1007976, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), PLoS Computational Biology, Vol 16, Iss 7, p e1007976 (2020), Oskar Bordeaux, Apollo, Open Repository and Bibliography-Luxembourg, Datacite, UnpayWall, ORCID, Microsoft Academic Graph, Norwegian Open Research Archives, Serveur académique lausannois, PubMed Central, DOAJ-Articles, LAReferencia-Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas, Mémoires en Sciences de l'Information et de la Communication, Hal-Diderot, Hyper Article en Ligne
Publication Year :
2020
Publisher :
Public Library of Science, 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. ELIXIR-EXCELERATE is funded by the European Commission within the Research Infrastructures programme of Horizon 2020, grant agreement number 676559 (https://ec.europa.eu/programmes/horizon2020/en/area/researchinfrastructures). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Subjects

Subjects :
FOS: Computer and information sciences
0301 basic medicine
Program evaluation
Biomedical Research
Databases, Factual
Economics
Computer science
Social Sciences
Surveys
Bioinformatics
Geographical Locations
Computational biology
Database and Informatics Methods
Software Pipelines
Multidisciplinaire, généralités & autres [F99] [Sciences du vivant]
User-Computer Interface
Software
0302 clinical medicine
Information processing
Biology (General)
computer.programming_language
media_common
training
Careers
Ecology
ELIXIR Training Platform
Member states
Data Collection
FOS: Social sciences
bioinformatics
Research Assessment
Elixir
Research Personnel
Europe
Computational Theory and Mathematics
Research Design
Modeling and Simulation
impact
Elixir (programming language)
Curriculum
Algorithms
Employment
Quality Control
Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]
Information storage and retrieval systems
Computer and Information Sciences
Education, Continuing
quality assessment
QH301-705.5
media_common.quotation_subject
Multidisciplinary, general & others [F99] [Life sciences]
Research and Analysis Methods
Education
Instruction Pipelines
03 medical and health sciences
Cellular and Molecular Neuroscience
Data visualization
Modelling and Simulation
Computational Techniques
Bioinformatica
Genetics
Relevance (information retrieval)
Quality (business)
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Survey Research
Data collection
Impact assessment
Data Visualization
Sustainability science
Computational Pipelines
Computational Biology
Reproducibility of Results
ELIXIR
030104 developmental biology
Labor Economics
People and Places
Portfolio
computer
030217 neurology & neurosurgery
Program Evaluation

Details

Language :
English
ISSN :
1553734X and 15537358
Database :
OpenAIRE
Journal :
PLoS Computational Biology, PLoS Computational Biology, Public Library of Science, 2020, 16 (7), pp.e1007976. ⟨10.1371/journal.pcbi.1007976⟩, PLOS computational biology (Online) 16 (2020). doi:10.1371/journal.pcbi.1007976, info:cnr-pdr/source/autori:Kim T. Gurwitz1, Prakash Singh Gaur2, Louisa J. Bellis1, Lee Larcombe3, Eva Alloza4, Balint Laszlo Balint5, Alexander Botzki6, Jure Dimec7, Victoria Dominguez del Angel8, Pedro L. Fernandes9, Eija Korpelainen10, Roland Krause11, Mateusz Kuzak12, Loredana Le Pera13, Brane Leskos?ek7, Jessica M. Lindvall14, Diana Marek15, Paula A. Martinez6, Tuur Muyldermans6, Ståle Nygård16, Patricia M. Palagi15, Hedi Peterson17, Fotis Psomopoulos18, Vojtech Spiwok19, Celia W. G. van Gelder12, Allegra Via20, Marko Vidak7, Daniel Wibberg21, Sarah L. Morgan2, Gabriella Rustici1*/titolo:A framework to assess the quality and impact of bioinformatics training across ELIXIR/doi:10.1371%2Fjournal.pcbi.1007976/rivista:PLOS computational biology (Online)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:16, PLoS computational biology, vol. 16, no. 7, pp. e1007976, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), PLoS Computational Biology, Vol 16, Iss 7, p e1007976 (2020), Oskar Bordeaux, Apollo, Open Repository and Bibliography-Luxembourg, Datacite, UnpayWall, ORCID, Microsoft Academic Graph, Norwegian Open Research Archives, Serveur académique lausannois, PubMed Central, DOAJ-Articles, LAReferencia-Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas, Mémoires en Sciences de l'Information et de la Communication, Hal-Diderot, Hyper Article en Ligne
Accession number :
edsair.doi.dedup.....9ad6decd27e6e5883e7325d46ecb73c0