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.
Files
2022-10-26-fdo2022-poster-sdr.pdf
Files
(6.1 MB)
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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
- European Commission
- 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