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 SeasonWatch - Tree Phenology Dataset (India) #1554

Closed gbif-pipelines closed 2 months ago

gbif-pipelines commented 2 months ago

Identifier validation failed for the dataset SeasonWatch - Tree Phenology Dataset (India):

New IDs sample:

NCF_India:SeasonWatch:403325
NCF_India:SeasonWatch:176400
NCF_India:SeasonWatch:287366
NCF_India:SeasonWatch:356475
NCF_India:SeasonWatch:356474
NCF_India:SeasonWatch:461218
NCF_India:SeasonWatch:344468
NCF_India:SeasonWatch:475812
NCF_India:SeasonWatch:250909
NCF_India:SeasonWatch:250912
Old IDs sample:

NCF_India:SeasonWatch:554660
NCF_India:SeasonWatch:554661
NCF_India:SeasonWatch:554662
NCF_India:SeasonWatch:554663
NCF_India:SeasonWatch:554664
NCF_India:SeasonWatch:557846
NCF_India:SeasonWatch:557847
NCF_India:SeasonWatch:557848
NCF_India:SeasonWatch:557849
NCF_India:SeasonWatch:557850
Publisher email Hello, I am contacting you from the GBIF Secretariat about a dataset published by the [SeasonWatch - Tree Phenology Dataset (India)](https://registry.gbif.org/dataset/d85d848d-791e-4055-bda5-32c16619ab21) : https://doi.org/10.15468/kdtw96. 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.