Biodiversity Information Science and Standards :
Conference Abstract
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Corresponding author: Mathias Dillen (mathias.dillen@plantentuinmeise.be)
Received: 25 Sep 2024 | Published: 25 Sep 2024
© 2024 Mathias Dillen, Maarten Trekels
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Dillen M, Trekels M (2024) DoeDat: Enhanced Roundtripping of Crowdsourced Specimen Annotations. Biodiversity Information Science and Standards 8: e137827. https://doi.org/10.3897/biss.8.137827
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The DoeDat platform was launched by Meise Botanic Garden in 2018 to capture label data from imaged herbarium specimens by inviting volunteer contributors (
DoeDat supports domain standards, including Darwin Core, and follows most of the currently drafted MIDS (Minimum Information about a Digital Specimen) guidelines as to what data is captured for natural history specimens. However, images have to be pre-loaded into the server storage for each project and captured data gets exported as one or more CSV files per project. These data files then still need to be processed before they can be ingested into the local management system (
As the biodiversity infrastructure landscape moves more towards FAIR (Findable, Accessible, Interoperable, Reusable) open data, DoeDat will adapt accordingly. This includes digital objects that are easy to annotate. Furthermore, image servers following IIIF (International Image Interoperability Framework) greatly standardise the access and portability of media content, drastically changing the way images are being dealt with. We envision upgrading the DoeDat platform to load images and any required metadata as IIIF manifests, greatly streamlining the process of adding new content and tracking provenance. The transcriptions should be accessible for external systems, loading the updated image manifests and publishing them as annotations such as nanopublications.
label transcription, IIIF, MIDS, FAIR, data provenance
Mathias Dillen
DoeDat received funding through the Flemish Government's DOE! and DOE!2 projects. It also received funding from FWO through the DiSSCo Flanders project and from the Flemish Open Science Board. MD received an FWO travel grant to attend the TDWG 2024 conference.