talk · Tuesday 22 September · 12:16–⁠12:30 · ODIN

How Darwin Core enables harmonizing Biodiversity Data via the OSCA Consortium

Cristian-Dan Bara · Data Quality: From Standard to Practice

Recording time 3:45:13–3:58:54Open on Vimeo ↗

Summaries and key moments are machine-produced. Check the recording for the speaker’s exact words.

The short versionA shared Darwin Core-based cloud pipeline lets 15 Austrian institutions of very different IT capacity publish harmonised specimen data.

Overview

What this was about

Cristian-Dan Bara presents OSCA (Open Scientific Collections Austria), a collaboration of 15 Austrian institutions digitizing preserved specimens into a shared cloud infrastructure built around a central Postgres cache aligned to Darwin Core and approved extensions. A streamlined pipeline with automated checks for Darwin Core validity and essential values gives scientists feedback before publication, keeping a human in the loop. Two public portals (v4 aggregating searches across international portals, v5 searching consortium data first with deep links outward) are being compared, and records are categorised by MIDS levels, targeting at least MIDS level 1.

Why it matters. It shows how a national consortium can use Darwin Core as a common language to pool capacity and publish comparable collection data.

Key ideas

In the room

  • OSCA digitizes preserved specimens across 15 museums, universities and scientific institutions.
  • Darwin Core is the shared language, enabling "micro infrastructures" where larger institutions support smaller ones.
  • Central Postgres table in the cloud follows Darwin Core and approved extensions.
  • Automated processing flags Darwin Core validity and missing essential values; scientists correct before publication.
  • Three pillars: search and discover, direct Darwin Core export (Excel), and a feedback loop on user needs.
  • Portal v4 compiles results from international portals; v5 searches consortium data first (harvested into DiSSCo) with deep links.
  • MIDS classes used to categorise records; MIDS level 1 minimum, level 2 (with media) desired for public value.
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Notable moments

In their words

Transcript

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Programme abstract

How Darwin Core enables harmonizing Biodiversity Data via the OSCA Consortium

Cristian-Dan Bara

Digitizing vast biological and geological collections presents a significant multi-disciplinary challenge, requiring the integration of domain expertise, information technology, and robust scientific infrastructure. The Open Scientific Collections Austria (OSCA) consortium (15 museums, universities, and scientific institutions) was created to digitize Austria’s biodiversity and geological history. These collections serve as critical longitudinal baselines for researching global crises, including climate change and biodiversity loss.

Central to this initiative was the adoption of the Darwin Core (DwC)data standard, which provided the foundational framework for cross-institutional interoperability.

We developed a centralized, cloud-based Cache database designed to aggregate DwC-compliant datasets from all consortium members. This infrastructure supports a coherent workflow that facilitates high-quality data production by both technical and non-technical researchers. To ensure global reach, the system automates the publication of records to international repositories, specifically GBIF and DiSSCo.

A dedicated public Portal was developed to enhance collaboration and provide open access to Austrian scientific data. The portal allows users to search, compare, and download records in DwC format. By enabling the cross-referencing of published data, the platform assists the scientific community in quantifying available information and identifying strategic gaps for future digitization. This integrated approach demonstrates how standardized data frameworks and collective infrastructure can overcome funding and technical barriers to unlock the potential of natural history collections.

Submitted to the conference programme before the talk, so the talk itself may differ.