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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 36,281 to 36,300.First1,8111,8121,8131,8141,8151,8161,8171,818Last
Id Label Status Status Modified Notation
92044 Levallois-Perret Quick edit Valid 2013-05-30 92044
92046 Malakoff Quick edit Valid 2013-05-30 92046
92047 Marnes-la-Coquette Quick edit Valid 2013-05-30 92047
92048 Meudon Quick edit Valid 2013-05-30 92048
92049 Montrouge Quick edit Valid 2013-05-30 92049
92050 Nanterre Quick edit Valid 2013-05-30 92050
92051 Neuilly-sur-Seine Quick edit Valid 2013-05-30 92051
92060 Le Plessis-Robinson Quick edit Valid 2013-05-30 92060
92062 Puteaux Quick edit Valid 2013-05-30 92062
92063 Rueil-Malmaison Quick edit Valid 2013-05-30 92063
92064 Saint-Cloud Quick edit Valid 2013-05-30 92064
92071 Sceaux Quick edit Valid 2013-05-30 92071
92072 Sèvres Quick edit Valid 2013-05-30 92072
92073 Suresnes Quick edit Valid 2013-05-30 92073
92075 Vanves Quick edit Valid 2013-05-30 92075
92076 Vaucresson Quick edit Valid 2013-05-30 92076
92077 Ville-d'Avray Quick edit Valid 2013-05-30 92077
92078 Villeneuve-la-Garenne Quick edit Valid 2013-05-30 92078
93001 Aubervilliers Quick edit Valid 2013-05-30 93001
93005 Aulnay-sous-Bois Quick edit Valid 2013-05-30 93005
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?