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Antonie van Leeuwenhoek
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Systematic and Applied Microbiology
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DIGITAL.CSIC
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https://pubmed.ncbi.nlm.nih.go...
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Reflections on the introduction of the Digital Protologue Database – a partial success?

Authors: Rosselló-Mora, Ramón; Sutcliffe, Iain;

Reflections on the introduction of the Digital Protologue Database – a partial success?

Abstract

Modern science revolves around databases, be they the massive (e.g. NCBI) or the bespoke (e.g. EzBioCloud). There are enormous databases covering the sequence world and the protein world but what of the organisms from which they are derived? With this is mind, we have argued (Sutcliffe et al. 2012; Rosselló-Móra 2012; Rosselló-Móra and Amann 2015; Sutcliffe 2015; Rossello-Mora and Whitman 2019) that microbial systematics needs to become a database driven science. After all, if it has taken more than a century to characterise  10 m prokaryotic species (< 0.2%), then a flexible repository will be needed if we are to complete a timely systematic census of the microbial world. An ideal database would integrate information on the characteristics of a taxon with nomenclatural information and links out to other databases, particularly for sequence data, and back to the original data source (primary publication). Entries would range from the minimal information needed to delineate a novel taxon through to maximal descriptions of well characterised taxa.

Peer reviewed

Country
Spain
Related Organizations
Keywords

Databases, Factual, Bacteria, Databases, Genetic, Periodicals as Topic, Classification, Microbiology, Online Systems, Editorial Policies

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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!
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