In mid-March, Biodiversity Data Journal (BDJ) was presented to attendees at both the 2023 Open Research Week and the 3rd Global Soil Biodiversity Conference (GSB 2023).
At both events, the journal’s team demonstrated how the flagship scholarly journal - published by Pensoft and powered by ARPHA P ...
Wesley D. Colombo is a Postdoctoral fellow at the Núcleo de Excelência em Sistemática de Bethylidae (NESB) at Programa de Pós-Graduação em Biologia Animal at Universidade Federal do Espírito Santo in Vitória, Brazil.
He joins the Editorial board of Biodiversity Data Journal as a Subject editor fo ...
The EU-funded project BiCIKL (Biodiversity Community Integrated Knowledge Library) launched a new article collection in the Biodiversity Data Journal (BDJ), in order to prompt and collate studies that demonstrate how biodiversity data are shared in a way that makes them easily harvested, distributed ...
Dr Josh Jenkins Shaw and Dr Ivailo Dedov have recently joined BDJ as Subject editors.
Dr Josh Jenkins Shaw, who works with rove beetles (Staphylinidae) at the Natural History Museum of Denmark (University of Copenhagen), will contribute with entomological expertise. Visit his personal website and ...
Researchers developed an AI tool which identifies 169 species native to Taiwan from the sound of their calls.
Preliminary results from the releases of Cinereous Vultures (Aegypius monachus) were published in the Biodiversity Data Journal.
Welcomed are taxonomic and other biodiversity-related research articles, which demonstrate the advantages and novel approaches in accessing and (re-)using linked biodiversity data.
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.
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