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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 35,321 to 35,340.First1,7631,7641,7651,7661,7671,7681,7691,770Last
Id Label Status Status Modified Notation
88336 Ollainville Quick edit Valid 2013-05-30 88336
88337 Oncourt Quick edit Valid 2013-05-30 88337
88338 Ortoncourt Quick edit Valid 2013-05-30 88338
88340 Padoux Quick edit Valid 2013-05-30 88340
88341 Pair-et-Grandrupt Quick edit Valid 2013-05-30 88341
88342 Pallegney Quick edit Valid 2013-05-30 88342
88343 Parey-sous-Montfort Quick edit Valid 2013-05-30 88343
88344 Pargny-sous-Mureau Quick edit Valid 2013-05-30 88344
88345 La Petite-Fosse Quick edit Valid 2013-05-30 88345
88346 La Petite-Raon Quick edit Valid 2013-05-30 88346
88347 Pierrefitte Quick edit Valid 2013-05-30 88347
88348 Pierrepont-sur-l'Arentèle Quick edit Valid 2013-05-30 88348
88349 Plainfaing Quick edit Valid 2013-05-30 88349
88350 Pleuvezain Quick edit Valid 2013-05-30 88350
88351 Plombières-les-Bains Quick edit Valid 2013-05-30 88351
88352 Pompierre Quick edit Valid 2013-05-30 88352
88353 Pont-lès-Bonfays Quick edit Valid 2013-05-30 88353
88354 Pont-sur-Madon Quick edit Valid 2013-05-30 88354
88355 Portieux Quick edit Valid 2013-05-30 88355
88356 Les Poulières Quick edit Valid 2013-05-30 88356
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?