A framework to assess the quality and impact of bioinformatics training across ELIXIR Article Swipe
Kim Gurwitz
,
Prakash Singh Gaur
,
Louisa J. Bellis
,
Lee Larcombe
,
Eva Alloza
,
Bálint L. Bálint
,
Alexander Botzki
,
Jure Dimec
,
Victoria Domínguez Del Angel
,
Pedro Fernandes
,
Eija Korpelainen
,
Roland Krause
,
Mateusz Kuzak
,
Loredana Le Pera
,
Brane Leskošek
,
Jessica M. Lindvall
,
Diana Marek
,
Paula Andrea Martinez
,
Tuur Muyldermans
,
Ståle Nygård
,
Patricia M. Palagi
,
Hedi Peterson
,
Fotis Psomopoulos
,
Vojtěch Spiwok
,
Celia van Gelder
,
Allegra Via
,
Marko Vidak
,
Daniel Wibberg
,
Sarah Morgan
,
Gabriella Rustici
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pcbi.1007976
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pcbi.1007976
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pcbi.1007976
- https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007976&type=printable
- OA Status
- gold
- Cited By
- 11
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3044736059
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3044736059Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pcbi.1007976Digital Object Identifier
- Title
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A framework to assess the quality and impact of bioinformatics training across ELIXIRWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-07-23Full publication date if available
- Authors
-
Kim Gurwitz, Prakash Singh Gaur, Louisa J. Bellis, Lee Larcombe, Eva Alloza, Bálint L. Bálint, Alexander Botzki, Jure Dimec, Victoria Domínguez Del Angel, Pedro Fernandes, Eija Korpelainen, Roland Krause, Mateusz Kuzak, Loredana Le Pera, Brane Leskošek, Jessica M. Lindvall, Diana Marek, Paula Andrea Martinez, Tuur Muyldermans, Ståle Nygård, Patricia M. Palagi, Hedi Peterson, Fotis Psomopoulos, Vojtěch Spiwok, Celia van Gelder, Allegra Via, Marko Vidak, Daniel Wibberg, Sarah Morgan, Gabriella RusticiList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pcbi.1007976Publisher landing page
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https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007976&type=printableDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007976&type=printableDirect OA link when available
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Elixir (programming language), Quality (philosophy), Impact assessment, Computer science, Data science, Political science, Programming language, Epistemology, Public administration, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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11Total citation count in OpenAlex
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2025: 1, 2024: 4, 2023: 3, 2021: 2, 2020: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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