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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 36,241 to 36,260.First1,8091,8101,8111,8121,8131,8141,8151,816Last
Id Label Status Status Modified Notation
91631 Varennes-Jarcy Quick edit Valid 2013-05-30 91631
91634 Vaugrigneuse Quick edit Valid 2013-05-30 91634
91635 Vauhallan Quick edit Valid 2013-05-30 91635
91639 Vayres-sur-Essonne Quick edit Valid 2013-05-30 91639
91645 Verrières-le-Buisson Quick edit Valid 2013-05-30 91645
91648 Vert-le-Grand Quick edit Valid 2013-05-30 91648
91649 Vert-le-Petit Quick edit Valid 2013-05-30 91649
91654 Videlles Quick edit Valid 2013-05-30 91654
91657 Vigneux-sur-Seine Quick edit Valid 2013-05-30 91657
91659 Villabé Quick edit Valid 2013-05-30 91659
91661 Villebon-sur-Yvette Quick edit Valid 2013-05-30 91661
91662 Villeconin Quick edit Valid 2013-05-30 91662
91665 La Ville-du-Bois Quick edit Valid 2013-05-30 91665
91666 Villejust Quick edit Valid 2013-05-30 91666
91667 Villemoisson-sur-Orge Quick edit Valid 2013-05-30 91667
91671 Villeneuve-sur-Auvers Quick edit Valid 2013-05-30 91671
91679 Villiers-le-Bâcle Quick edit Valid 2013-05-30 91679
91685 Villiers-sur-Orge Quick edit Valid 2013-05-30 91685
91687 Viry-Châtillon Quick edit Valid 2013-05-30 91687
91689 Wissous Quick edit Valid 2013-05-30 91689
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?