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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 36,341 to 36,360.First1,8141,8151,8161,8171,8181,8191,8201,821Last
Id Label Status Status Modified Notation
94003 Arcueil Quick edit Valid 2013-05-30 94003
94004 Boissy-Saint-Léger Quick edit Valid 2013-05-30 94004
94011 Bonneuil-sur-Marne Quick edit Valid 2013-05-30 94011
94015 Bry-sur-Marne Quick edit Valid 2013-05-30 94015
94016 Cachan Quick edit Valid 2013-05-30 94016
94017 Champigny-sur-Marne Quick edit Valid 2013-05-30 94017
94018 Charenton-le-Pont Quick edit Valid 2013-05-30 94018
94019 Chennevières-sur-Marne Quick edit Valid 2013-05-30 94019
94021 Chevilly-Larue Quick edit Valid 2013-05-30 94021
94022 Choisy-le-Roi Quick edit Valid 2013-05-30 94022
94028 Créteil Quick edit Valid 2013-05-30 94028
94033 Fontenay-sous-Bois Quick edit Valid 2013-05-30 94033
94034 Fresnes Quick edit Valid 2013-05-30 94034
94037 Gentilly Quick edit Valid 2013-05-30 94037
94038 L' Haÿ-les-Roses Quick edit Valid 2013-05-30 94038
94041 Ivry-sur-Seine Quick edit Valid 2013-05-30 94041
94042 Joinville-le-Pont Quick edit Valid 2013-05-30 94042
94043 Le Kremlin-Bicêtre Quick edit Valid 2013-05-30 94043
94044 Limeil-Brévannes Quick edit Valid 2013-05-30 94044
94046 Maisons-Alfort Quick edit Valid 2013-05-30 94046
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?