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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 32,861 to 32,880.First1,6401,6411,6421,6431,6441,6451,6461,647Last
Id Label Status Status Modified Notation
80242 Domart-sur-la-Luce Quick edit Valid 2013-05-30 80242
80243 Domesmont Quick edit Valid 2013-05-30 80243
80244 Dominois Quick edit Valid 2013-05-30 80244
80245 Domléger-Longvillers Quick edit Valid 2013-05-30 80245
80246 Dommartin Quick edit Valid 2013-05-30 80246
80247 Dompierre-Becquincourt Quick edit Valid 2013-05-30 80247
80248 Dompierre-sur-Authie Quick edit Valid 2013-05-30 80248
80249 Domqueur Quick edit Valid 2013-05-30 80249
80250 Domvast Quick edit Valid 2013-05-30 80250
80251 Doudelainville Quick edit Valid 2013-05-30 80251
80252 Douilly Quick edit Valid 2013-05-30 80252
80253 Doullens Quick edit Valid 2013-05-30 80253
80256 Dreuil-lès-Amiens Quick edit Valid 2013-05-30 80256
80258 Driencourt Quick edit Valid 2013-05-30 80258
80259 Dromesnil Quick edit Valid 2013-05-30 80259
80260 Drucat Quick edit Valid 2013-05-30 80260
80261 Dury Quick edit Valid 2013-05-30 80261
80262 Eaucourt-sur-Somme Quick edit Valid 2013-05-30 80262
80263 L' Échelle-Saint-Aurin Quick edit Valid 2013-05-30 80263
80264 Éclusier-Vaux Quick edit Valid 2013-05-30 80264
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?