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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 35,381 to 35,400.First1,7661,7671,7681,7691,7701,7711,7721,773Last
Id Label Status Status Modified Notation
88400 Rouvres-en-Xaintois Quick edit Valid 2013-05-30 88400
88401 Rouvres-la-Chétive Quick edit Valid 2013-05-30 88401
88402 Roville-aux-Chênes Quick edit Valid 2013-05-30 88402
88403 Rozerotte Quick edit Valid 2013-05-30 88403
88404 Rozières-sur-Mouzon Quick edit Valid 2013-05-30 88404
88406 Rugney Quick edit Valid 2013-05-30 88406
88407 Ruppes Quick edit Valid 2013-05-30 88407
88408 Rupt-sur-Moselle Quick edit Valid 2013-05-30 88408
88409 Saint-Amé Quick edit Valid 2013-05-30 88409
88410 Sainte-Barbe Quick edit Valid 2013-05-30 88410
88411 Saint-Baslemont Quick edit Valid 2013-05-30 88411
88412 Saint-Benoît-la-Chipotte Quick edit Valid 2013-05-30 88412
88413 Saint-Dié-des-Vosges Quick edit Valid 2013-05-30 88413
88415 Saint-Étienne-lès-Remiremont Quick edit Valid 2013-05-30 88415
88416 Saint-Genest Quick edit Valid 2013-05-30 88416
88417 Saint-Gorgon Quick edit Valid 2013-05-30 88417
88418 Sainte-Hélène Quick edit Valid 2013-05-30 88418
88419 Saint-Jean-d'Ormont Quick edit Valid 2013-05-30 88419
88421 Saint-Julien Quick edit Valid 2013-05-30 88421
88423 Saint-Léonard Quick edit Valid 2013-05-30 88423
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?