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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 3,641 to 3,660.First179180181182183184185186Last
Id Label Status Status Modified Notation
10424 Villeret Quick edit Valid 2013-05-30 10424
10425 Villery Quick edit Valid 2013-05-30 10425
10426 Ville-sous-la-Ferté Quick edit Valid 2013-05-30 10426
10427 Ville-sur-Arce Quick edit Valid 2013-05-30 10427
10428 Ville-sur-Terre Quick edit Valid 2013-05-30 10428
10429 Villette-sur-Aube Quick edit Valid 2013-05-30 10429
10430 Villiers-Herbisse Quick edit Valid 2013-05-30 10430
10431 Villiers-le-Bois Quick edit Valid 2013-05-30 10431
10432 Villiers-sous-Praslin Quick edit Valid 2013-05-30 10432
10433 Villy-en-Trodes Quick edit Valid 2013-05-30 10433
10434 Villy-le-Bois Quick edit Valid 2013-05-30 10434
10435 Villy-le-Maréchal Quick edit Valid 2013-05-30 10435
10436 Vinets Quick edit Valid 2013-05-30 10436
10437 Virey-sous-Bar Quick edit Valid 2013-05-30 10437
10438 Vitry-le-Croisé Quick edit Valid 2013-05-30 10438
10439 Viviers-sur-Artaut Quick edit Valid 2013-05-30 10439
10440 Voigny Quick edit Valid 2013-05-30 10440
10441 Vosnon Quick edit Valid 2013-05-30 10441
10442 Voué Quick edit Valid 2013-05-30 10442
10443 Vougrey Quick edit Valid 2013-05-30 10443
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?