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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 32,061 to 32,080.First1,6001,6011,6021,6031,6041,6051,6061,607Last
Id Label Status Status Modified Notation
78005 Achères Quick edit Valid 2013-05-30 78005
78006 Adainville Quick edit Valid 2013-05-30 78006
78007 Aigremont Quick edit Valid 2013-05-30 78007
78009 Allainville Quick edit Valid 2013-05-30 78009
78010 Les Alluets-le-Roi Quick edit Valid 2013-05-30 78010
78013 Andelu Quick edit Valid 2013-05-30 78013
78015 Andrésy Quick edit Valid 2013-05-30 78015
78020 Arnouville-lès-Mantes Quick edit Valid 2013-05-30 78020
78029 Aubergenville Quick edit Valid 2013-05-30 78029
78030 Auffargis Quick edit Valid 2013-05-30 78030
78031 Auffreville-Brasseuil Quick edit Valid 2013-05-30 78031
78033 Aulnay-sur-Mauldre Quick edit Valid 2013-05-30 78033
78034 Auteuil Quick edit Valid 2013-05-30 78034
78036 Autouillet Quick edit Valid 2013-05-30 78036
78043 Bailly Quick edit Valid 2013-05-30 78043
78048 Bazainville Quick edit Valid 2013-05-30 78048
78049 Bazemont Quick edit Valid 2013-05-30 78049
78050 Bazoches-sur-Guyonne Quick edit Valid 2013-05-30 78050
78053 Béhoust Quick edit Valid 2013-05-30 78053
78057 Bennecourt Quick edit Valid 2013-05-30 78057
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?