gbif-pipelines
commented
6 months ago Identifier validation still failing for the dataset Phenology and biological traits of migrating salmon (Salmo salar) sampled by trapping in the survey in the Bresle river (France):
- Crawler attempt: 101
- Publishing organization: Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)
- Publishing country: FRANCE
- Installation: IPT GBIF France
- Number of occurrences indexed for this dataset at the time of the issue: 12524
- Cause: GBIF ID problems exceed 50% threshold: 82% duplicates; 69439 total records; 56982 absent records
- Pipelines execution steps: http://api.gbif.org/v1/pipelines/history/execution/3659487/step
New IDs sample:
20170418_LD_PGD_175437
20190420_LD_PGD_105640
20180509_EU_PGD_114557
20170418_LD_PGD_175438
20181107_EU_PGM_PGM_161500
19810802_EU_PGM
20050218_LD_PGD
20010930_EU_PGM_PGM_090000
20210505_LD_PGD_091934_23
20090528_EU_PGDOld IDs sample:
20220103_LD_PGD_PGD_084300
20220104_LD_PGD_091752_11
20220104_LD_PGD_095623_27
20220105_LD_PGD_095213_19
20220105_LD_PGD_100003_23
20220106_LD_PGD_PGD_090700
20220107_LD_PGD_PGD_090000
20220110_LD_PGD_PGD_085300
20220111_LD_PGD_PGD_090200
20220112_LD_PGD_PGD_092900Publisher email
Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Phenology and biological traits of migrating salmon (Salmo salar) sampled by trapping in the survey in the Bresle river (France)](https://registry.gbif.org/dataset/7a8bcb65-021a-4c3d-bab8-0844a381f5b1) : https://doi.org/10.15468/rrh3nq. 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.
Identifier validation failed for the dataset Phenology and biological traits of migrating salmon (Salmo salar) sampled by trapping in the survey in the Bresle river (France):
Publisher email
Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Phenology and biological traits of migrating salmon (Salmo salar) sampled by trapping in the survey in the Bresle river (France)](https://registry.gbif.org/dataset/7a8bcb65-021a-4c3d-bab8-0844a381f5b1) : https://doi.org/10.15468/rrh3nq. 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.