gbif-pipelines
commented
6 months ago Identifier validation still failing for the dataset Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (algas, frutos y semillas, hongos, líquenes, xiloteca):
- Crawler attempt: 147
- Publishing organization: Comisión nacional para el conocimiento y uso de la biodiversidad
- Publishing country: MEXICO
- Installation: IPTCONABIO
- Number of occurrences indexed for this dataset at the time of the issue: 31681
- Cause: GBIF ID problems exceed 50% threshold: 100% duplicates; 31681 total records; 31681 absent records
- Pipelines execution steps: http://api.gbif.org/v1/pipelines/history/execution/3740952/step
New IDs sample:
Old IDs sample:
66a424b3d4523bcc0284809f5c9f60bd
a0dcc5fa3dcd45066ad680ef546512c5
b80c6bb4368bd7580cead37579231e2c
52ad8822dfe224697042d69206f93dd4
5380c0fec4bf3839d702df87846d89f2
7c3b6a52be121eb59a245ce6610fee72
89d51e5ba8c391c5858cfe2d56c448b5
0dfb0c67779cc71cec5af62fdcd29ec8
dfacc401b487e7f47d09bc73f1a4616c
dbbe24a76922860cde548254f95a0017Publisher email
Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (algas, frutos y semillas, hongos, líquenes, xiloteca)](https://registry.gbif.org/dataset/7dcaa915-d51a-4376-b2b3-08fd7aca3f23) : https://doi.org/10.15468/f4f5dn. 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 Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (algas, frutos y semillas, hongos, líquenes, xiloteca):
Publisher email
Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (algas, frutos y semillas, hongos, líquenes, xiloteca)](https://registry.gbif.org/dataset/7dcaa915-d51a-4376-b2b3-08fd7aca3f23) : https://doi.org/10.15468/f4f5dn. 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.