Next Article in Journal
Vocalization Analyses of Nocturnal Arboreal Mammals of the Taita Hills, Kenya
Previous Article in Journal
Demographic Traits Variation in a Pyrenean Newt (Calotriton asper) among Lacustrine and Stream Populations
 
 
Perspective

Hemi- and Homonyms in the Big Data Era

1
Section of Quality, Environmental Evaluation and Environment—TRAGSATEC-SEPI, C/Julian Camarillo, 6B, Sector D, 28037 Madrid, Spain
2
Department of Animal Science-Wildlife Section, University of Lleida, Av. Alcalde Rovira Roure 191, 25198 Lleida, Spain
Diversity 2020, 12(12), 472; https://doi.org/10.3390/d12120472
Received: 23 October 2020 / Revised: 10 December 2020 / Accepted: 11 December 2020 / Published: 13 December 2020
(This article belongs to the Section Phylogeny and Evolution)
The issue of hemi- and homonyms is an unsolved topic in the Big Data era, where informatics and technicians, rather than biologists or taxonomists, analyze huge datasets. Nowadays, taxonomic nomenclature is ruled by four independent international codes, and according to them, the existence of hemihomonyms and homonyms is accepted under some conditions as an exception to the general rule. This situation entails confusion, disagreements, and a plethora of problems whose consequences could worsen in the near future within the framework of the big data era. Moreover, the increasing use of big databases and analyses, data science, bioinformatics, biological monitoring, and bioassessment has shown such exceptions to be inconvenient, since these exceptions to homonyms are considered as duplicates by databases and statistical software, which are handled by non-taxonomist experts. International Codes of Nomenclature must change within the new context of big data analysis. This work aims to propose the elimination of any exception to the presence of homonyms and to evaluate whether the Independence Principle makes sense within this new context. Increasing coordination between several independent nomenclatural systems is essential and, perhaps, we must conduct our efforts towards a universal species list, finishing with the historical schism between Codes. View Full-Text
Keywords: taxonomic nomenclature; big data era; hemi- and homonyms; data science; BioCode; Darwin Core; Globally Unique Identifiers; Life Science Identifier taxonomic nomenclature; big data era; hemi- and homonyms; data science; BioCode; Darwin Core; Globally Unique Identifiers; Life Science Identifier
Show Figures

Figure 1

  • Externally hosted supplementary file 1
    Doi: https://doi.org/10.6084/m9.figshare.11467374
MDPI and ACS Style

Sánchez-González, J.R. Hemi- and Homonyms in the Big Data Era. Diversity 2020, 12, 472. https://doi.org/10.3390/d12120472

AMA Style

Sánchez-González JR. Hemi- and Homonyms in the Big Data Era. Diversity. 2020; 12(12):472. https://doi.org/10.3390/d12120472

Chicago/Turabian Style

Sánchez-González, Jorge Rubén. 2020. "Hemi- and Homonyms in the Big Data Era" Diversity 12, no. 12: 472. https://doi.org/10.3390/d12120472

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop