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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 32,181 to 32,200.First1,6061,6071,6081,6091,6101,6111,6121,613Last
Id Label Status Status Modified Notation
78322 Jouy-en-Josas Quick edit Valid 2013-05-30 78322
78324 Jouy-Mauvoisin Quick edit Valid 2013-05-30 78324
78325 Jumeauville Quick edit Valid 2013-05-30 78325
78327 Juziers Quick edit Valid 2013-05-30 78327
78329 Lainville-en-Vexin Quick edit Valid 2013-05-30 78329
78334 Lévis-Saint-Nom Quick edit Valid 2013-05-30 78334
78335 Limay Quick edit Valid 2013-05-30 78335
78337 Limetz-Villez Quick edit Valid 2013-05-30 78337
78343 Les Loges-en-Josas Quick edit Valid 2013-05-30 78343
78344 Lommoye Quick edit Valid 2013-05-30 78344
78346 Longnes Quick edit Valid 2013-05-30 78346
78349 Longvilliers Quick edit Valid 2013-05-30 78349
78350 Louveciennes Quick edit Valid 2013-05-30 78350
78354 Magnanville Quick edit Valid 2013-05-30 78354
78356 Magny-les-Hameaux Quick edit Valid 2013-05-30 78356
78358 Maisons-Laffitte Quick edit Valid 2013-05-30 78358
78361 Mantes-la-Jolie Quick edit Valid 2013-05-30 78361
78362 Mantes-la-Ville Quick edit Valid 2013-05-30 78362
78364 Marcq Quick edit Valid 2013-05-30 78364
78366 Mareil-le-Guyon Quick edit Valid 2013-05-30 78366
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?