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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 32,301 to 32,320.First1,6121,6131,6141,6151,6161,6171,6181,619Last
Id Label Status Status Modified Notation
78621 Trappes Quick edit Valid 2013-05-30 78621
78623 Le Tremblay-sur-Mauldre Quick edit Valid 2013-05-30 78623
78624 Triel-sur-Seine Quick edit Valid 2013-05-30 78624
78638 Vaux-sur-Seine Quick edit Valid 2013-05-30 78638
78640 Vélizy-Villacoublay Quick edit Valid 2013-05-30 78640
78642 Verneuil-sur-Seine Quick edit Valid 2013-05-30 78642
78643 Vernouillet Quick edit Valid 2013-05-30 78643
78644 La Verrière Quick edit Valid 2013-05-30 78644
78646 Versailles Quick edit Valid 2013-05-30 78646
78647 Vert Quick edit Valid 2013-05-30 78647
78650 Le Vésinet Quick edit Valid 2013-05-30 78650
78653 Vicq Quick edit Valid 2013-05-30 78653
78655 Vieille-Église-en-Yvelines Quick edit Valid 2013-05-30 78655
78668 La Villeneuve-en-Chevrie Quick edit Valid 2013-05-30 78668
78672 Villennes-sur-Seine Quick edit Valid 2013-05-30 78672
78674 Villepreux Quick edit Valid 2013-05-30 78674
78677 Villette Quick edit Valid 2013-05-30 78677
78681 Villiers-le-Mahieu Quick edit Valid 2013-05-30 78681
78683 Villiers-Saint-Fréderic Quick edit Valid 2013-05-30 78683
78686 Viroflay Quick edit Valid 2013-05-30 78686
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?