A framework to assess the quality and impact of bioinformatics training across ELIXIR.
Gurwitz KT, Singh Gaur P, Bellis LJ, Larcombe L, Alloza E, Balint BL, Botzki A, Dimec J, Dominguez Del Angel V, Fernandes PL, Korpelainen E, et al. (2020)
PLoS computational biology 16(7): e1007976.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Gurwitz, Kim T;
Singh Gaur, Prakash;
Bellis, Louisa J;
Larcombe, Lee;
Alloza, Eva;
Balint, Balint Laszlo;
Botzki, Alexander;
Dimec, Jure;
Dominguez Del Angel, Victoria;
Fernandes, Pedro L;
Korpelainen, Eija;
Krause, Roland
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Alle
Einrichtung
Abstract / Bemerkung
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.
Erscheinungsjahr
2020
Zeitschriftentitel
PLoS computational biology
Band
16
Ausgabe
7
Art.-Nr.
e1007976
Urheberrecht / Lizenzen
eISSN
1553-7358
Page URI
https://pub.uni-bielefeld.de/record/2945217
Zitieren
Gurwitz KT, Singh Gaur P, Bellis LJ, et al. A framework to assess the quality and impact of bioinformatics training across ELIXIR. PLoS computational biology. 2020;16(7): e1007976.
Gurwitz, K. T., Singh Gaur, P., Bellis, L. J., Larcombe, L., Alloza, E., Balint, B. L., Botzki, A., et al. (2020). A framework to assess the quality and impact of bioinformatics training across ELIXIR. PLoS computational biology, 16(7), e1007976. doi:10.1371/journal.pcbi.1007976
Gurwitz, Kim T, Singh Gaur, Prakash, Bellis, Louisa J, Larcombe, Lee, Alloza, Eva, Balint, Balint Laszlo, Botzki, Alexander, et al. 2020. “A framework to assess the quality and impact of bioinformatics training across ELIXIR.”. PLoS computational biology 16 (7): e1007976.
Gurwitz, K. T., Singh Gaur, P., Bellis, L. J., Larcombe, L., Alloza, E., Balint, B. L., Botzki, A., Dimec, J., Dominguez Del Angel, V., Fernandes, P. L., et al. (2020). A framework to assess the quality and impact of bioinformatics training across ELIXIR. PLoS computational biology 16:e1007976.
Gurwitz, K.T., et al., 2020. A framework to assess the quality and impact of bioinformatics training across ELIXIR. PLoS computational biology, 16(7): e1007976.
K.T. Gurwitz, et al., “A framework to assess the quality and impact of bioinformatics training across ELIXIR.”, PLoS computational biology, vol. 16, 2020, : e1007976.
Gurwitz, K.T., Singh Gaur, P., Bellis, L.J., Larcombe, L., Alloza, E., Balint, B.L., Botzki, A., Dimec, J., Dominguez Del Angel, V., Fernandes, P.L., Korpelainen, E., Krause, R., Kuzak, M., Le Pera, L., Leskosek, B., Lindvall, J.M., Marek, D., Martinez, P.A., Muyldermans, T., Nygard, S., Palagi, P.M., Peterson, H., Psomopoulos, F., Spiwok, V., van Gelder, C.W.G., Via, A., Vidak, M., Wibberg, D., Morgan, S.L., Rustici, G.: A framework to assess the quality and impact of bioinformatics training across ELIXIR. PLoS computational biology. 16, : e1007976 (2020).
Gurwitz, Kim T, Singh Gaur, Prakash, Bellis, Louisa J, Larcombe, Lee, Alloza, Eva, Balint, Balint Laszlo, Botzki, Alexander, Dimec, Jure, Dominguez Del Angel, Victoria, Fernandes, Pedro L, Korpelainen, Eija, Krause, Roland, Kuzak, Mateusz, Le Pera, Loredana, Leskosek, Brane, Lindvall, Jessica M, Marek, Diana, Martinez, Paula A, Muyldermans, Tuur, Nygard, Stale, Palagi, Patricia M, Peterson, Hedi, Psomopoulos, Fotis, Spiwok, Vojtech, van Gelder, Celia W G, Via, Allegra, Vidak, Marko, Wibberg, Daniel, Morgan, Sarah L, and Rustici, Gabriella. “A framework to assess the quality and impact of bioinformatics training across ELIXIR.”. PLoS computational biology 16.7 (2020): e1007976.
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