search

gbif / ingestion-management

Tracking of data issues seen during data ingestion processes
Apache License 2.0
1 stars 0 forks source link

Identifiers validation failed for dataset Long-term monitoring of lizards and geckos in Doñana 2005-2021 #462

Closed gbif-pipelines closed 1 year ago

gbif-pipelines commented 1 year ago

Identifier validation failed for the dataset Long-term monitoring of lizards and geckos in Doñana 2005-2021:

Hello,

I am contacting you from the GBIF Secretariat about a dataset published by the Long-term monitoring of lizards and geckos in Doñana 2005-2021 : https://doi.org/10.15470/ki0cn7. 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.

gbif-pipelines commented 1 year ago

Identifier validation still failing for the dataset Long-term monitoring of lizards and geckos in Doñana 2005-2021:

New IDs sample:

Old IDs sample:

DONANA:REPT:T5:2021-02-24:1:1913
DONANA:REPT:T5:2021-02-24:1:1914
DONANA:REPT:T5:2021-02-24:1:1915
DONANA:REPT:T5:2021-02-24:1:1916
DONANA:REPT:T5:2021-02-24:1:1917
DONANA:REPT:T6:2021-02-24:1:1854
DONANA:REPT:T12:2021-03-03:1:1772
DONANA:REPT:T12:2021-03-03:1:1773
DONANA:REPT:T12:2021-03-03:1:1774
DONANA:REPT:T12:2021-03-03:1:1775
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Long-term monitoring of lizards and geckos in Doñana 2005-2021](https://registry.gbif.org/dataset/5625910c-6d03-4879-8046-13edc1128b95) : https://doi.org/10.15470/ki0cn7. 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.