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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 2,801 to 2,820.First137138139140141142143144Last
Id Label Status Status Modified Notation
08401 Saulces-Champenoises Quick edit Valid 2013-05-30 08401
08402 Saulces-Monclin Quick edit Valid 2013-05-30 08402
08403 Sault-lès-Rethel Quick edit Valid 2013-05-30 08403
08404 Sault-Saint-Remy Quick edit Valid 2013-05-30 08404
08405 Sauville Quick edit Valid 2013-05-30 08405
08406 Savigny-sur-Aisne Quick edit Valid 2013-05-30 08406
08407 Séchault Quick edit Valid 2013-05-30 08407
08408 Sécheval Quick edit Valid 2013-05-30 08408
08409 Sedan Quick edit Valid 2013-05-30 08409
08410 Semide Quick edit Valid 2013-05-30 08410
08411 Semuy Quick edit Valid 2013-05-30 08411
08412 Senuc Quick edit Valid 2013-05-30 08412
08413 Seraincourt Quick edit Valid 2013-05-30 08413
08415 Sery Quick edit Valid 2013-05-30 08415
08416 Seuil Quick edit Valid 2013-05-30 08416
08417 Sévigny-la-Forêt Quick edit Valid 2013-05-30 08417
08418 Sévigny-Waleppe Quick edit Valid 2013-05-30 08418
08419 Signy-l'Abbaye Quick edit Valid 2013-05-30 08419
08420 Signy-le-Petit Quick edit Valid 2013-05-30 08420
08421 Signy-Montlibert Quick edit Valid 2013-05-30 08421
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?