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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 33,721 to 33,740.First1,6831,6841,6851,6861,6871,6881,6891,690Last
Id Label Status Status Modified Notation
81316 Vieux Quick edit Valid 2013-05-30 81316
81317 Villefranche-d'Albigeois Quick edit Valid 2013-05-30 81317
81318 Villeneuve-lès-Lavaur Quick edit Valid 2013-05-30 81318
81319 Villeneuve-sur-Vère Quick edit Valid 2013-05-30 81319
81320 Vindrac-Alayrac Quick edit Valid 2013-05-30 81320
81321 Le Vintrou Quick edit Valid 2013-05-30 81321
81322 Virac Quick edit Valid 2013-05-30 81322
81323 Viterbe Quick edit Valid 2013-05-30 81323
81324 Viviers-lès-Lavaur Quick edit Valid 2013-05-30 81324
81325 Viviers-lès-Montagnes Quick edit Valid 2013-05-30 81325
81326 Sainte-Croix Quick edit Valid 2013-05-30 81326
82001 Albefeuille-Lagarde Quick edit Valid 2013-05-30 82001
82002 Albias Quick edit Valid 2013-05-30 82002
82003 Angeville Quick edit Valid 2013-05-30 82003
82004 Asques Quick edit Valid 2013-05-30 82004
82005 Aucamville Quick edit Valid 2013-05-30 82005
82006 Auterive Quick edit Valid 2013-05-30 82006
82007 Auty Quick edit Valid 2013-05-30 82007
82008 Auvillar Quick edit Valid 2013-05-30 82008
82009 Balignac Quick edit Valid 2013-05-30 82009
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?