gbif / ingestion-management

Tracking of data issues seen during data ingestion processes
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Identifiers validation failed for dataset Protistan plankton time series from the northern Salish Sea and central coast, British Columbia, Canada #1420

Closed gbif-pipelines closed 2 weeks ago

gbif-pipelines commented 2 weeks ago

Identifier validation failed for the dataset Protistan plankton time series from the northern Salish Sea and central coast, British Columbia, Canada:

New IDs sample:
Old IDs sample:

Hakai_phyto_QU39_2018-01-03_0m_1
Hakai_phyto_QU39_2018-01-03_0m_10
Hakai_phyto_QU39_2018-01-03_0m_11
Hakai_phyto_QU39_2018-01-03_0m_12
Hakai_phyto_QU39_2018-01-03_0m_13
Hakai_phyto_QU39_2018-01-03_0m_14
Hakai_phyto_QU39_2018-01-03_0m_15
Hakai_phyto_QU39_2018-01-03_0m_16
Hakai_phyto_QU39_2018-01-03_0m_17
Hakai_phyto_QU39_2018-01-03_0m_18
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Protistan plankton time series from the northern Salish Sea and central coast, British Columbia, Canada](https://registry.gbif.org/dataset/a62c37c4-6fbe-4a93-8c87-c67dda36436c) : https://doi.org/10.15468/q748tc. 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 2 weeks ago

Identifier validation still failing for the dataset Protistan plankton time series from the northern Salish Sea and central coast, British Columbia, Canada:

New IDs sample:
Old IDs sample:

Hakai_phyto_QU39_2018-01-03_0m_1
Hakai_phyto_QU39_2018-01-03_0m_10
Hakai_phyto_QU39_2018-01-03_0m_11
Hakai_phyto_QU39_2018-01-03_0m_12
Hakai_phyto_QU39_2018-01-03_0m_13
Hakai_phyto_QU39_2018-01-03_0m_14
Hakai_phyto_QU39_2018-01-03_0m_15
Hakai_phyto_QU39_2018-01-03_0m_16
Hakai_phyto_QU39_2018-01-03_0m_17
Hakai_phyto_QU39_2018-01-03_0m_18
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Protistan plankton time series from the northern Salish Sea and central coast, British Columbia, Canada](https://registry.gbif.org/dataset/a62c37c4-6fbe-4a93-8c87-c67dda36436c) : https://doi.org/10.15468/q748tc. 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.