gbif-pipelines
commented
1 month ago Identifier validation still failing for the dataset CEPEC - Herbário do Centro de Pesquisas do Cacau:
- Crawler attempt: 443
- Publishing organization: Comissão Executiva do Plano da Lavoura Cacaueira – Centro de Pesquisas do Cacau
- Publishing country: BRAZIL
- Installation: speciesLink Network / INCT-HVFF IPT
- Number of occurrences indexed for this dataset at the time of the issue: 146328
- Cause: GBIF ID problems exceed 50% threshold: 88% duplicates; 146328 total records; 129000 absent records
- Pipelines execution steps: http://api.gbif.org/v1/pipelines/history/execution/4145135/step
New IDs sample:
https://specieslink.net/guid/264/10
https://specieslink.net/guid/264/105
https://specieslink.net/guid/264/101
https://specieslink.net/guid/264/104
https://specieslink.net/guid/264/115
https://specieslink.net/guid/264/114
https://specieslink.net/guid/264/1019
https://specieslink.net/guid/264/1023
https://specieslink.net/guid/264/1038
https://specieslink.net/guid/264/1028Old IDs sample:
BRA:CEPLAC:CEPEC:159683
BRA:CEPLAC:CEPEC:159684
BRA:CEPLAC:CEPEC:159685
BRA:CEPLAC:CEPEC:159686
BRA:CEPLAC:CEPEC:159687
BRA:CEPLAC:CEPEC:159688
BRA:CEPLAC:CEPEC:159689
BRA:CEPLAC:CEPEC:159690
BRA:CEPLAC:CEPEC:159691
BRA:CEPLAC:CEPEC:159692Publisher email
Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [CEPEC - Herbário do Centro de Pesquisas do Cacau](https://registry.gbif.org/dataset/bc81e05b-ed51-46ba-a0a4-90fbae9b5545) : https://doi.org/10.15468/wvh0dx. 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 CEPEC - Herbário do Centro de Pesquisas do Cacau:
Publisher email
Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [CEPEC - Herbário do Centro de Pesquisas do Cacau](https://registry.gbif.org/dataset/bc81e05b-ed51-46ba-a0a4-90fbae9b5545) : https://doi.org/10.15468/wvh0dx. 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.