Ten quick tips for biocuration
[...]ensuring quality and standardisation of data usually requires more effort. [...]heterogeneity of data and the rate at which they are produced make it difficult to develop novel analytics or maximise the impact of data on scientific or clinical decision-making. [...]curators’ or submitters’ mist...
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Veröffentlicht in: | PLoS computational biology 2019-05, Vol.15 (5), p.e1006906-e1006906 |
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Sprache: | eng |
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Zusammenfassung: | [...]ensuring quality and standardisation of data usually requires more effort. [...]heterogeneity of data and the rate at which they are produced make it difficult to develop novel analytics or maximise the impact of data on scientific or clinical decision-making. [...]curators’ or submitters’ mistakes may be revealed during the data reuse phase and need to be rectified. There are many different free database solutions available, covering many different use cases [17] [18]. Besides facilitating data sharing, centralised storage also aids backup procedures, which can be automated, ensuring that valuable curated data can be recovered should there be any technical problems (see also Tip 3). The tips above provide a point of entry for researchers wanting to start contributing to biocuration as part of their projects or in their research area in general. Because of its diverse nature, curation offers great potential for expanding one’s skill set and may benefit careers. |
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ISSN: | 1553-7358 1553-734X 1553-7358 |
DOI: | 10.1371/journal.pcbi.1006906 |