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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 35,921 to 35,940.First1,7931,7941,7951,7961,7971,7981,7991,800Last
Id Label Status Status Modified Notation
89440 Verlin Quick edit Valid 2013-05-30 89440
89441 Vermenton Quick edit Valid 2013-05-30 89441
89442 Vernoy Quick edit Valid 2013-05-30 89442
89443 Véron Quick edit Valid 2013-05-30 89443
89445 Vézannes Quick edit Valid 2013-05-30 89445
89446 Vézelay Quick edit Valid 2013-05-30 89446
89447 Vézinnes Quick edit Valid 2013-05-30 89447
89448 Vignes Quick edit Valid 2013-05-30 89448
89449 Villeblevin Quick edit Valid 2013-05-30 89449
89450 Villebougis Quick edit Valid 2013-05-30 89450
89451 Villechétive Quick edit Valid 2013-05-30 89451
89452 Villecien Quick edit Valid 2013-05-30 89452
89453 Villefargeau Quick edit Valid 2013-05-30 89453
89454 Villefranche Quick edit Valid 2013-05-30 89454
89456 Villemanoche Quick edit Valid 2013-05-30 89456
89457 Villemer Quick edit Valid 2013-05-30 89457
89458 Villenavotte Quick edit Valid 2013-05-30 89458
89459 Villeneuve-la-Dondagre Quick edit Valid 2013-05-30 89459
89460 Villeneuve-la-Guyard Quick edit Valid 2013-05-30 89460
89461 Villeneuve-l'Archevêque Quick edit Valid 2013-05-30 89461
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?