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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 31,921 to 31,940.First1,5931,5941,5951,5961,5971,5981,5991,600Last
Id Label Status Status Modified Notation
77390 Roissy-en-Brie Quick edit Valid 2013-05-30 77390
77391 Rouilly Quick edit Valid 2013-05-30 77391
77392 Rouvres Quick edit Valid 2013-05-30 77392
77393 Rozay-en-Brie Quick edit Valid 2013-05-30 77393
77394 Rubelles Quick edit Valid 2013-05-30 77394
77395 Rumont Quick edit Valid 2013-05-30 77395
77396 Rupéreux Quick edit Valid 2013-05-30 77396
77397 Saâcy-sur-Marne Quick edit Valid 2013-05-30 77397
77398 Sablonnières Quick edit Valid 2013-05-30 77398
77399 Saint-Ange-le-Viel Quick edit Valid 2013-05-30 77399
77400 Saint-Augustin Quick edit Valid 2013-05-30 77400
77401 Sainte-Aulde Quick edit Valid 2013-05-30 77401
77402 Saint-Barthélemy Quick edit Valid 2013-05-30 77402
77403 Saint-Brice Quick edit Valid 2013-05-30 77403
77404 Sainte-Colombe Quick edit Valid 2013-05-30 77404
77405 Saint-Cyr-sur-Morin Quick edit Valid 2013-05-30 77405
77406 Saint-Denis-lès-Rebais Quick edit Valid 2013-05-30 77406
77407 Saint-Fargeau-Ponthierry Quick edit Valid 2013-05-30 77407
77408 Saint-Fiacre Quick edit Valid 2013-05-30 77408
77409 Saint-Germain-Laval Quick edit Valid 2013-05-30 77409
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?