top of page
https___svampe.databasen.org_uploads_202

GBIO framework:

data

Building on those foundations, the Data focus area aims to accelerate the mobilization of data from all sources, unlocking the knowledge held in our collections and literature, improving data quality and filling in gaps, and bringing observations and data from all sources from satellites to genomes online.

Photo: Frøslev T G, Heilmann-Clausen J, Lange C, Læssøe T, Petersen J H, Søchting U, Jeppesen T S, Vesterholt J (2020). Danish Mycological Society, fungal records database. Danish Mycological Society. Occurrence dataset https://doi.org/10.15468/zn159h accessed via GBIF.org on 2020-06-03. https://www.gbif.org/occurrence/2542589539

Published materials

Enable digital access to all published biodiversity knowledge

Expose the biodiversity data embedded in print publications and multimedia formats as freely available, standardized and structured information.

Published materials

Collections and specimens

Accelerate digitization of specimen-based data

Develop and expand efficient techniques and processes to capture and share data from natural history specimens.

Collections and specimens

Field surveys and observations

Ensure open and timely sharing of data from field research and citizen science

Mobilize all biodiversity observations, including associated multimedia, as soon as possible after they are collected.

Field surveys and observations

Sequences and genomes

Incorporate data from genomic and genetic exploration of the living world

Capture data from molecular research on biodiversity and genetic variation, including vouchered reference sequences, sequence-based identifications, and environmental DNA and RNA.

Sequences and genomes

Automated and remote-sensed observations

Harness automated monitoring technologies to expand data capture across the whole planet

Automate recording and identification of species and populations with satellite-based observing systems, field-based sensors, remote-controlled systems and other technologies.

Automated and remote-sensed observations
bottom of page