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Preparations vocabulary #97
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Several observations.
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Thanks, @tucotuco, this obviously needs more detailed investigation and thought. The motivation for recording this here was to mirror some of the ideas within the ALA basisOfRecord thread, with the associated work to bring in a vocabulary. All of this reinforces the need for the proposed DwC task group |
The new member of the data team at GBIF, @CecSve is doing a push to get all our vocabularies that have stalled into the server, so we have a good basis on which to evolve and improve on much of the old "dictionary CSV" files we still use. Can you please update us on any outputs from the NAOC vocabulary workshop you described above? |
We currently have the following enum and vocabulary for preservations : @tucotuco it would be interesting to see how all the participants mapped the preparations. Is that accessible somewhere? We do not have any defined preparations concepts for all these values, but perhaps the old vocabulary and enum for preservations can be of use - although the SAMPLE_* and STORAGE_* use in the enum reads as mixing vocabularies together... |
I think the conclusion of the NAOC group was that preparations alone is not really satisfactory. The workshop produced a LOT of work nevertheless after dividing the problem into a body part vocabulary referring to the UBERON ontology and a vocabulary for preservation method. All of the work to date can be found in the NAOC Preparations Mapping spreadsheet. |
Investigate GGBN preparations and preservations vocabularies for this vocabulary as well. https://rs.gbif.org/extension/ggbn/preparation.xml |
As values in this field relates to multiple potential vocabularies, I have tried to make a list of relevant issues, work and proposed definitions/vocabularies etc. in the TDWG community:
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@ManonGros the two listed above may be relevant for the GRSciColl vocabulary: |
We should consider if it makes sense to offered standardized search for preparations.
To get a sense of the content, a quick export shows 2628 verbatim values are used in >1000 records, or >3 datasets, created using the following
The result of this is
preparations.csv (replaced by later version)preparations-20220602.csv1000 and 3 were chosen as arbitrary values to get a quick sense of the content only and more fine-grained exploration is certainly needed
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