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Bioinformatics Advances
Article . 2024 . Peer-reviewed
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Other literature type . 2024
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ZENODO
Other literature type . 2024
License: CC BY
Data sources: Datacite
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The ISCB competency framework v. 3: a revised and extended standard for bioinformatics education and training

Authors: Brooksbank, Catherine; Brazas, Michelle; Mulder, Nicola; Schwartz, Russell; Ras, Verena; Morgan, Sarah; Lloret-Llinares, Marta; +8 Authors

The ISCB competency framework v. 3: a revised and extended standard for bioinformatics education and training

Abstract

Abstract Motivation Developing competency in the broad area of bioinformatics is challenging globally, owing to the breadth of the field and the diversity of its audiences for education and training. Course design can be facilitated by the use of a competency framework—a set of competency requirements that define the knowledge, skills and attitudes needed by individuals in (or aspiring to be in) a particular profession or role. These competency requirements can help to define curricula as they can inform both the content and level to which competency needs to be developed. The International Society for Computational Biology (ISCB) developed a list of bioinformatics competencies in 2014, and these have undergone several rounds of improvement. In consultation with a broad bioinformatics training community, these have now been further refined and extended to include knowledge skills and attitudes, and mappings to previous and other existing competency frameworks. Results Here, we present version 3 of the ISCB competency framework. We describe how it was developed and how to access it, as well as providing some examples of how it has been used. Availability and implementation The framework is openly accessible at https://competency.ebi.ac.uk/framework/iscb/3.0/competencies.

Keywords

FOS: Computer and information sciences, education, computational biology, training, Bioinformatics, Original Article, continuing professional development

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    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
gold