You are here:
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 33,921 to 33,940.First1,6931,6941,6951,6961,6971,6981,6991,700Last
Id Label Status Status Modified Notation
82190 Verdun-sur-Garonne Quick edit Valid 2013-05-30 82190
82191 Verfeil Quick edit Valid 2013-05-30 82191
82192 Verlhac-Tescou Quick edit Valid 2013-05-30 82192
82193 Vigueron Quick edit Valid 2013-05-30 82193
82194 Villebrumier Quick edit Valid 2013-05-30 82194
82195 Villemade Quick edit Valid 2013-05-30 82195
83001 Les Adrets-de-l'Estérel Quick edit Valid 2013-05-30 83001
83002 Aiguines Quick edit Valid 2013-05-30 83002
83003 Ampus Quick edit Valid 2013-05-30 83003
83004 Les Arcs Quick edit Valid 2013-05-30 83004
83005 Artignosc-sur-Verdon Quick edit Valid 2013-05-30 83005
83006 Artigues Quick edit Valid 2013-05-30 83006
83007 Aups Quick edit Valid 2013-05-30 83007
83008 Bagnols-en-Forêt Quick edit Valid 2013-05-30 83008
83009 Bandol Quick edit Valid 2013-05-30 83009
83010 Bargème Quick edit Valid 2013-05-30 83010
83011 Bargemon Quick edit Valid 2013-05-30 83011
83012 Barjols Quick edit Valid 2013-05-30 83012
83013 La Bastide Quick edit Valid 2013-05-30 83013
83014 Baudinard-sur-Verdon Quick edit Valid 2013-05-30 83014
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?