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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 33,361 to 33,380.First1,6651,6661,6671,6681,6691,6701,6711,672Last
Id Label Status Status Modified Notation
80785 Vecquemont Quick edit Valid 2013-05-30 80785
80786 Velennes Quick edit Valid 2013-05-30 80786
80787 Vercourt Quick edit Valid 2013-05-30 80787
80788 Vergies Quick edit Valid 2013-05-30 80788
80789 Vermandovillers Quick edit Valid 2013-05-30 80789
80790 Verpillières Quick edit Valid 2013-05-30 80790
80791 Vers-sur-Selles Quick edit Valid 2013-05-30 80791
80792 La Vicogne Quick edit Valid 2013-05-30 80792
80793 Vignacourt Quick edit Valid 2013-05-30 80793
80794 Villecourt Quick edit Valid 2013-05-30 80794
80795 Ville-le-Marclet Quick edit Valid 2013-05-30 80795
80796 Villeroy Quick edit Valid 2013-05-30 80796
80797 Villers-aux-Érables Quick edit Valid 2013-05-30 80797
80798 Villers-Bocage Quick edit Valid 2013-05-30 80798
80799 Villers-Bretonneux Quick edit Valid 2013-05-30 80799
80800 Villers-Campsart Quick edit Valid 2013-05-30 80800
80801 Villers-Carbonnel Quick edit Valid 2013-05-30 80801
80802 Villers-Faucon Quick edit Valid 2013-05-30 80802
80803 Villers-lès-Roye Quick edit Valid 2013-05-30 80803
80804 Villers-sous-Ailly Quick edit Valid 2013-05-30 80804
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?