A framework to assess the quality and impact of bioinformatics training across ELIXIR
| Autor: | 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 |
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| Přispěvatelé: | 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 |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
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 |
| Zdroj: | 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 |
| ISSN: | 1553-734X 1553-7358 |
| DOI: | 10.1371/journal.pcbi.1007976⟩ |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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