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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

36,682 concepts found, displaying 32,341 to 32,360.First1,6141,6151,6161,6171,6181,6191,6201,621Last
Id Label Status Status Modified Notation
79022 Availles-Thouarsais Quick edit Valid 2013-05-30 79022
79023 Avon Quick edit Valid 2013-05-30 79023
79024 Azay-le-Brûlé Quick edit Valid 2013-05-30 79024
79025 Azay-sur-Thouet Quick edit Valid 2013-05-30 79025
79027 La Bataille Quick edit Valid 2013-05-30 79027
79029 Beaulieu-sous-Parthenay Quick edit Valid 2013-05-30 79029
79030 Beaussais Quick edit Valid 2013-05-30 79030
79031 Beauvoir-sur-Niort Quick edit Valid 2013-05-30 79031
79032 Béceleuf Quick edit Valid 2013-05-30 79032
79033 Belleville Quick edit Valid 2013-05-30 79033
79034 Bessines Quick edit Valid 2013-05-30 79034
79035 Le Beugnon Quick edit Valid 2013-05-30 79035
79038 Boismé Quick edit Valid 2013-05-30 79038
79039 Boisserolles Quick edit Valid 2013-05-30 79039
79040 La Boissière-en-Gâtine Quick edit Valid 2013-05-30 79040
79042 Bougon Quick edit Valid 2013-05-30 79042
79043 Bouillé-Loretz Quick edit Valid 2013-05-30 79043
79044 Bouillé-Saint-Paul Quick edit Valid 2013-05-30 79044
79045 Bouin Quick edit Valid 2013-05-30 79045
79046 Le Bourdet Quick edit Valid 2013-05-30 79046
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?