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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 2,721 to 2,740.First133134135136137138139140Last
Id Label Status Status Modified Notation
08318 La Neuville-aux-Joûtes Quick edit Valid 2013-05-30 08318
08319 Neuville-lez-Beaulieu Quick edit Valid 2013-05-30 08319
08320 La Neuville-en-Tourne-à-Fuy Quick edit Valid 2013-05-30 08320
08321 Neuville-Day Quick edit Valid 2013-05-30 08321
08322 Neuville-lès-This Quick edit Valid 2013-05-30 08322
08323 La Neuville-lès-Wasigny Quick edit Valid 2013-05-30 08323
08324 Neuvizy Quick edit Valid 2013-05-30 08324
08325 Noirval Quick edit Valid 2013-05-30 08325
08326 Nouart Quick edit Valid 2013-05-30 08326
08327 Nouvion-sur-Meuse Quick edit Valid 2013-05-30 08327
08328 Nouzonville Quick edit Valid 2013-05-30 08328
08329 Novion-Porcien Quick edit Valid 2013-05-30 08329
08330 Novy-Chevrières Quick edit Valid 2013-05-30 08330
08331 Noyers-Pont-Maugis Quick edit Valid 2013-05-30 08331
08332 Oches Quick edit Valid 2013-05-30 08332
08333 Olizy-Primat Quick edit Valid 2013-05-30 08333
08334 Omicourt Quick edit Valid 2013-05-30 08334
08335 Omont Quick edit Valid 2013-05-30 08335
08336 Osnes Quick edit Valid 2013-05-30 08336
08338 Pauvres Quick edit Valid 2013-05-30 08338
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?