Explore the conversation.
What if biodiversity data systems were designed to behave like ecosystems?
Biodiversity information systems should be designed like ecosystems: loosely coupled, event-driven components linked by shared standards, able to reorganise as conditions change.
Kit Lewers ↗
How Darwin Core enables harmonizing Biodiversity Data via the OSCA Consortium
A shared Darwin Core-based cloud pipeline lets 15 Austrian institutions of very different IT capacity publish harmonised specimen data.
Cristian-Dan Bara ↗
Trapper 2.0: scalable, open-source platform for managing camera trapping projects with integrated AI pipelines
Trapper 2.0 offers an open, model-agnostic, edge-deployable pipeline for camera trap photos and videos with expert review and Camtrap DP export.
Karolina Kuczkowska ↗
Aligning An Evolving Global Data Model To Software With Global Ambitions: GBIF x TaxonWorks
TaxonWorks and DwC-DP have converged conceptually, but exchange between rich models will always be lossy, so mappings should be recorded explicitly.
Matthew Yoder ↗
From Buzzwords to Blueprints: What It Really Takes to Operationalise Biodiversity Digital Twins
Use buzzwords to get funded, then break them down into concrete blueprints: metadata, catalogues, governance and stewardship in the middle layer.
Sharif Islam ↗
From Client to App: Extending Diversity Workbench with REST and graphical web interfaces
A concept-based REST API and search index let LIB build flexible web interfaces and ingest data on top of the complex Diversity Workbench database.
Björn Quast ↗
SYM42 discussion: DwC-DP profiles, deriving occurrences, ABCD's future and system boundaries
Richer relational models bring the community together but raise hard governance questions about profiles, occurrence derivation, system scope and link persistence.
James A. Macklin, Jonas Grieb, John Wieczorek ↗
Enabling machine-readable access to biodiversity data through federated semantic querying
Distribute the data, not the infrastructure: cloud Parquet plus OBDA query rewriting gives a virtual Darwin Core knowledge graph without duplicating data into RDF.
El-Amine Mimouni ↗