gbif / ingestion-management

Tracking of data issues seen during data ingestion processes
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Identifiers validation failed for dataset Carnegie Museum of Natural History - Mollusks #1505

Open gbif-pipelines opened 1 month ago

gbif-pipelines commented 1 month ago

Identifier validation failed for the dataset Carnegie Museum of Natural History - Mollusks:

New IDs sample:

1653863
1647076
1651009
1650990
1650987
1651001
1650998
1650976
1647642
1664624
Old IDs sample:

0aec88ef-1f16-4fa8-842a-21a6d583f64b
6ed16f9f-f97b-46bd-b030-fc4e35a068ff
35112cae-21ed-4102-b6e7-b010ba2556e2
e005cd6c-9b29-4e54-b2de-f8c3a3abfe9c
d8db57ca-3741-46a0-b437-ccaad56db1b2
d7b439ac-a484-4990-bae6-f9f4e23f76b3
751d3c2e-def3-4248-9189-085de711a730
24d591c5-9b86-4bc2-917e-8b6da8f6e862
c8c36e85-6cde-4f05-a984-9a4286bf85dd
3ce7e1f2-9563-4cab-a5d1-b0b5e2c760a8
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Carnegie Museum of Natural History - Mollusks](https://registry.gbif.org/dataset/07ae2aa8-5031-4312-b26e-84a5c753daac) : https://doi.org/10.15468/4rfubm. 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 3 weeks ago

Identifier validation still failing for the dataset Carnegie Museum of Natural History - Mollusks:

New IDs sample:

1653863
1647076
1651009
1650990
1650987
1651001
1650998
1650976
1647642
1664624
Old IDs sample:

0aec88ef-1f16-4fa8-842a-21a6d583f64b
6ed16f9f-f97b-46bd-b030-fc4e35a068ff
35112cae-21ed-4102-b6e7-b010ba2556e2
e005cd6c-9b29-4e54-b2de-f8c3a3abfe9c
d8db57ca-3741-46a0-b437-ccaad56db1b2
d7b439ac-a484-4990-bae6-f9f4e23f76b3
751d3c2e-def3-4248-9189-085de711a730
24d591c5-9b86-4bc2-917e-8b6da8f6e862
c8c36e85-6cde-4f05-a984-9a4286bf85dd
3ce7e1f2-9563-4cab-a5d1-b0b5e2c760a8
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Carnegie Museum of Natural History - Mollusks](https://registry.gbif.org/dataset/07ae2aa8-5031-4312-b26e-84a5c753daac) : https://doi.org/10.15468/4rfubm. 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 Carnegie Museum of Natural History - Mollusks:

New IDs sample:

1653863
1647076
1651009
1650990
1650987
1651001
1650998
1650976
1647642
1664624
Old IDs sample:

0aec88ef-1f16-4fa8-842a-21a6d583f64b
6ed16f9f-f97b-46bd-b030-fc4e35a068ff
35112cae-21ed-4102-b6e7-b010ba2556e2
e005cd6c-9b29-4e54-b2de-f8c3a3abfe9c
d8db57ca-3741-46a0-b437-ccaad56db1b2
d7b439ac-a484-4990-bae6-f9f4e23f76b3
751d3c2e-def3-4248-9189-085de711a730
24d591c5-9b86-4bc2-917e-8b6da8f6e862
c8c36e85-6cde-4f05-a984-9a4286bf85dd
3ce7e1f2-9563-4cab-a5d1-b0b5e2c760a8
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Carnegie Museum of Natural History - Mollusks](https://registry.gbif.org/dataset/07ae2aa8-5031-4312-b26e-84a5c753daac) : https://doi.org/10.15468/4rfubm. 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 6 days ago

Identifier validation still failing for the dataset Carnegie Museum of Natural History - Mollusks:

New IDs sample:

1653863
1647076
1651009
1650990
1650987
1651001
1650998
1650976
1647642
1664624
Old IDs sample:

0aec88ef-1f16-4fa8-842a-21a6d583f64b
6ed16f9f-f97b-46bd-b030-fc4e35a068ff
35112cae-21ed-4102-b6e7-b010ba2556e2
e005cd6c-9b29-4e54-b2de-f8c3a3abfe9c
d8db57ca-3741-46a0-b437-ccaad56db1b2
d7b439ac-a484-4990-bae6-f9f4e23f76b3
751d3c2e-def3-4248-9189-085de711a730
24d591c5-9b86-4bc2-917e-8b6da8f6e862
c8c36e85-6cde-4f05-a984-9a4286bf85dd
3ce7e1f2-9563-4cab-a5d1-b0b5e2c760a8
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Carnegie Museum of Natural History - Mollusks](https://registry.gbif.org/dataset/07ae2aa8-5031-4312-b26e-84a5c753daac) : https://doi.org/10.15468/4rfubm. 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 4 days ago

Identifier validation still failing for the dataset Carnegie Museum of Natural History - Mollusks:

New IDs sample:

1653863
1647076
1651009
1650990
1650987
1651001
1650998
1650976
1647642
1664624
Old IDs sample:

0aec88ef-1f16-4fa8-842a-21a6d583f64b
6ed16f9f-f97b-46bd-b030-fc4e35a068ff
35112cae-21ed-4102-b6e7-b010ba2556e2
e005cd6c-9b29-4e54-b2de-f8c3a3abfe9c
d8db57ca-3741-46a0-b437-ccaad56db1b2
d7b439ac-a484-4990-bae6-f9f4e23f76b3
751d3c2e-def3-4248-9189-085de711a730
24d591c5-9b86-4bc2-917e-8b6da8f6e862
c8c36e85-6cde-4f05-a984-9a4286bf85dd
3ce7e1f2-9563-4cab-a5d1-b0b5e2c760a8
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [Carnegie Museum of Natural History - Mollusks](https://registry.gbif.org/dataset/07ae2aa8-5031-4312-b26e-84a5c753daac) : https://doi.org/10.15468/4rfubm. 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.