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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 35,941 to 35,960.First1,7941,7951,7961,7971,7981,7991,8001,801Last
Id Label Status Status Modified Notation
89462 Villeneuve-les-Genêts Quick edit Valid 2013-05-30 89462
89463 Villeneuve-Saint-Salves Quick edit Valid 2013-05-30 89463
89464 Villeneuve-sur-Yonne Quick edit Valid 2013-05-30 89464
89465 Villeperrot Quick edit Valid 2013-05-30 89465
89466 Villeroy Quick edit Valid 2013-05-30 89466
89467 Villethierry Quick edit Valid 2013-05-30 89467
89468 Villevallier Quick edit Valid 2013-05-30 89468
89469 Perceneige Quick edit Valid 2013-05-30 89469
89470 Villiers-les-Hauts Quick edit Valid 2013-05-30 89470
89471 Villiers-Louis Quick edit Valid 2013-05-30 89471
89472 Villiers-Saint-Benoît Quick edit Valid 2013-05-30 89472
89473 Villiers-sur-Tholon Quick edit Valid 2013-05-30 89473
89474 Villiers-Vineux Quick edit Valid 2013-05-30 89474
89475 Villon Quick edit Valid 2013-05-30 89475
89477 Villy Quick edit Valid 2013-05-30 89477
89478 Vincelles Quick edit Valid 2013-05-30 89478
89479 Vincelottes Quick edit Valid 2013-05-30 89479
89480 Vinneuf Quick edit Valid 2013-05-30 89480
89481 Vireaux Quick edit Valid 2013-05-30 89481
89482 Viviers Quick edit Valid 2013-05-30 89482
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?