Published October 21, 2022 | Version v2
Poster Open

Incrementally building FAIR Digital Objects with Specimen Data Refinery workflows

  • 1. The University of Manchester
  • 2. The University of Manchester, University of Amsterdam
  • 3. The Natural History Museum

Description

Specimen Data Refinery (SDR) is a developing platform for automating transcription of specimens from natural history collections (Hardisty et al. 2022). SDR is based on computational workflows and digital twins using FAIR Digital Objects.

We show our recent experiences with building SDR using the Galaxy workflow system and combining two FDO methodologies with open digital specimens (openDS) and RO-Crate data packaging. We suggest FDO improvements for incremental building of digital objects in computational workflows.

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2022-10-26-fdo2022-poster-sdr.pdf

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Additional details

Related works

Is derived from
Presentation: https://templates.office.com/en-au/organic-design-tm11964407 (URL)
Presentation: 10.6084/m9.figshare.21312345.v1 (DOI)
Presentation: 10.6084/m9.figshare.19947845.v2 (DOI)
Is supplement to
Conference paper: 10.3897/rio.8.e94349 (DOI)

Funding

BioExcel-2 – BioExcel Centre of Excellence for ComputationalBiomolecular Research 823830
European Commission
EOSC-Life – Providing an open collaborative space for digital biology in Europe 824087
European Commission
DiSSCo Prepare – Distributed System of Scientific Collections - Preparatory Phase Project 871043
European Commission
SYNTHESYS PLUS – Synthesis of systematic resources 823827
European Commission