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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 2,861 to 2,880.First140141142143144145146147Last
Id Label Status Status Modified Notation
08465 Vaux-lès-Rubigny Quick edit Valid 2013-05-30 08465
08466 Vaux-lès-Mouzon Quick edit Valid 2013-05-30 08466
08467 Vaux-Montreuil Quick edit Valid 2013-05-30 08467
08468 Vaux-Villaine Quick edit Valid 2013-05-30 08468
08469 Vendresse Quick edit Valid 2013-05-30 08469
08470 Verpel Quick edit Valid 2013-05-30 08470
08471 Verrières Quick edit Valid 2013-05-30 08471
08472 Viel-Saint-Remy Quick edit Valid 2013-05-30 08472
08473 Vieux-lès-Asfeld Quick edit Valid 2013-05-30 08473
08475 Villers-Cernay Quick edit Valid 2013-05-30 08475
08476 Villers-devant-le-Thour Quick edit Valid 2013-05-30 08476
08477 Villers-devant-Mouzon Quick edit Valid 2013-05-30 08477
08478 Villers-le-Tilleul Quick edit Valid 2013-05-30 08478
08479 Villers-le-Tourneur Quick edit Valid 2013-05-30 08479
08480 Villers-Semeuse Quick edit Valid 2013-05-30 08480
08481 Villers-sur-Bar Quick edit Valid 2013-05-30 08481
08482 Villers-sur-le-Mont Quick edit Valid 2013-05-30 08482
08483 Ville-sur-Lumes Quick edit Valid 2013-05-30 08483
08484 Ville-sur-Retourne Quick edit Valid 2013-05-30 08484
08485 Villy Quick edit Valid 2013-05-30 08485
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?