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: 1.3
Q Values
Biodiversity Conservation
Scopus CiteScore 2022: 2.1
Q Values
Ecology, Evolution, Behavior and Systematics
Agricultural and Biological Sciences
Animal Science and Zoology
Insect Science
Plant Science
CiteScoreTracker 2023: 2.0 (updated monthly)
Publication types: Data Paper, Omics Data Paper, Methods, R Package, Software Description, Interactive Key, Research Article, Taxonomy & Inventories, Species Conservation Profile, Alien Species Profile, Editorial, Short Communication, Commentary, Forum Paper
ISSN 1314-2828 (online) | ISSN 1314-2836 (print)
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