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Biodiversity Data Journal (BDJ) is a community peer-reviewed, open access journal, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – are treated and stored as data.

The journal publishes papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world. BDJ aims at integrating data and narrative in the article content to the maximum extent possible. Supplementary data files that underpin graphs, hypotheses and results should also be published with the article or deposited in trusted open access data repositories. The journal provides rich biodiversity data import and export facilities through the ARPHA Writing Tool and Darwin Core Archives.

Journal Impact Factor: 1.225
Q Values
Q3:
Biodiversity Conservation
Scopus CiteScore 2020: 2.0
Q Values
Q2:
Ecology
Q2:
Ecology, Evolution, Behavior and Systematics
CiteScoreTracker 2021: 1.8 (updated monthly)
Publication types: Single Taxon Treatments, Species Conservation Profiles, Alien Species Profiles, Taxonomic Papers, Species Inventories, Identification Keys, Data Papers, Software Descriptions
ISSN 1314-2828 (online) | ISSN 1314-2836 (print)
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