gbif / ingestion-management

Tracking of data issues seen during data ingestion processes
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Identifiers validation failed for dataset SD - SD Herbarium, San Diego Natural History Museum #1384

Open gbif-pipelines opened 5 months ago

gbif-pipelines commented 5 months ago

Identifier validation failed for the dataset SD - SD Herbarium, San Diego Natural History Museum:

New IDs sample:

3115050
3115047
3115045
4665599
4665625
4665593
1965791
3112731
5978274
3115049
Old IDs sample:

BE5E848F-47A8-4970-B2CD-F83A8DD76049
6F2E8DB9-4FAB-4F00-8DB8-081A3DB348CA
430BA57A-22D1-4B11-AA17-9AA3EF46CD11
0F54DC1B-E343-4F82-9FB9-51C2A94A38B2
4E57B202-3019-49FA-B5D6-D7399DBDA4E7
98FB98C2-3EC5-419D-8E1C-E8726C394360
88703B4F-37E3-4662-9FEA-02FA6E3D2129
DEA65693-5414-481C-9CFF-248AF5FD1B61
7835FF23-A66D-4DB5-9AE0-6E1FBB8DA86A
327D886E-3F24-4A85-8C75-A51ED052203B
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [SD - SD Herbarium, San Diego Natural History Museum](https://registry.gbif.org/dataset/9b7d1acf-b22f-4a1f-b6e8-f1ddd744dc07) : https://doi.org/10.15468/lneqwn. We noticed that the occurrenceIDs were changed. We have temporarily paused the ingestions of this dataset. As you might already know, when an occurrence record has a new occurrenceID for a given dataset, our system considers it to be a new occurrence. This means that it will be given a new gbifid and a new occurrence URL (like this one: https://www.gbif.org/occurrence/1252968762) and the old gbifid and URL will be deprecated. In this case, this means that the occurrence URLs would be deprecated when ingesting the newest versions of these datasets. We would like to check with you if those changes were intentional. Do you know if this is the case? Please let us know, thanks! We are happy to resume the dataset ingestion. Note that some users rely on those occurrence URLs and gbifids (like https://bionomia.net for example). In an attempt to improve the stability of the occurrence URLs and gbifids, we have implemented a warning system to detect these type of changes in datasets (see this news item). If the data publisher can provide us with a list of old and new occurrenceIDs per record, we can avoid the identifier and URL changes. Could that be an option? Please let us know if you have any question. Thanks! All the best,

You can skip/fix identifier validation using the registry UI.

jhnwllr commented 5 months ago

I think some records are missing. There are only ~250 on in archive when you download it.