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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 2,701 to 2,720.First132133134135136137138139Last
Id Label Status Status Modified Notation
08297 Montcornet Quick edit Valid 2013-05-30 08297
08298 Montcy-Notre-Dame Quick edit Valid 2013-05-30 08298
08300 Le Mont-Dieu Quick edit Valid 2013-05-30 08300
08301 Montgon Quick edit Valid 2013-05-30 08301
08302 Monthermé Quick edit Valid 2013-05-30 08302
08303 Monthois Quick edit Valid 2013-05-30 08303
08304 Montigny-sur-Meuse Quick edit Valid 2013-05-30 08304
08305 Montigny-sur-Vence Quick edit Valid 2013-05-30 08305
08306 Mont-Laurent Quick edit Valid 2013-05-30 08306
08307 Montmeillant Quick edit Valid 2013-05-30 08307
08308 Mont-Saint-Martin Quick edit Valid 2013-05-30 08308
08309 Mont-Saint-Remy Quick edit Valid 2013-05-30 08309
08310 Mouron Quick edit Valid 2013-05-30 08310
08311 Mouzon Quick edit Valid 2013-05-30 08311
08312 Murtin-et-Bogny Quick edit Valid 2013-05-30 08312
08313 Nanteuil-sur-Aisne Quick edit Valid 2013-05-30 08313
08314 Neuflize Quick edit Valid 2013-05-30 08314
08315 Neufmaison Quick edit Valid 2013-05-30 08315
08316 Neufmanil Quick edit Valid 2013-05-30 08316
08317 La Neuville-à-Maire Quick edit Valid 2013-05-30 08317
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?