A framework to assess the quality and impact of bioinformatics training across ELIXIR
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F20%3A43920905" target="_blank" >RIV/60461373:22330/20:43920905 - isvavai.cz</a>
Result on the web
<a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007976#ack" target="_blank" >https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007976#ack</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pcbi.1007976" target="_blank" >10.1371/journal.pcbi.1007976</a>
Alternative languages
Result language
angličtina
Original language name
A framework to assess the quality and impact of bioinformatics training across ELIXIR
Original language description
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. Copyright: © 2020 Gurwitz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS Computational Biology
ISSN
1553-734X
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
"e1007976-1"-"e1007976-12"
UT code for WoS article
000558078100023
EID of the result in the Scopus database
2-s2.0-85088498402