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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 36,381 to 36,400.First1,8161,8171,8181,8191,8201,8211,8221,823Last
Id Label Status Status Modified Notation
94077 Villeneuve-le-Roi Quick edit Valid 2013-05-30 94077
94078 Villeneuve-Saint-Georges Quick edit Valid 2013-05-30 94078
94079 Villiers-sur-Marne Quick edit Valid 2013-05-30 94079
94080 Vincennes Quick edit Valid 2013-05-30 94080
94081 Vitry-sur-Seine Quick edit Valid 2013-05-30 94081
95002 Ableiges Quick edit Valid 2013-05-30 95002
95008 Aincourt Quick edit Valid 2013-05-30 95008
95011 Ambleville Quick edit Valid 2013-05-30 95011
95012 Amenucourt Quick edit Valid 2013-05-30 95012
95014 Andilly Quick edit Valid 2013-05-30 95014
95018 Argenteuil Quick edit Valid 2013-05-30 95018
95019 Arnouville-lès-Gonesse Quick edit Valid 2013-05-30 95019
95023 Arronville Quick edit Valid 2013-05-30 95023
95024 Arthies Quick edit Valid 2013-05-30 95024
95026 Asnières-sur-Oise Quick edit Valid 2013-05-30 95026
95028 Attainville Quick edit Valid 2013-05-30 95028
95039 Auvers-sur-Oise Quick edit Valid 2013-05-30 95039
95040 Avernes Quick edit Valid 2013-05-30 95040
95042 Baillet-en-France Quick edit Valid 2013-05-30 95042
95046 Banthelu Quick edit Valid 2013-05-30 95046
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?