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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 32,141 to 32,160.First1,6041,6051,6061,6071,6081,6091,6101,611Last
Id Label Status Status Modified Notation
78231 Favrieux Quick edit Valid 2013-05-30 78231
78233 Feucherolles Quick edit Valid 2013-05-30 78233
78234 Flacourt Quick edit Valid 2013-05-30 78234
78236 Flexanville Quick edit Valid 2013-05-30 78236
78237 Flins-Neuve-Église Quick edit Valid 2013-05-30 78237
78238 Flins-sur-Seine Quick edit Valid 2013-05-30 78238
78239 Follainville-Dennemont Quick edit Valid 2013-05-30 78239
78242 Fontenay-le-Fleury Quick edit Valid 2013-05-30 78242
78245 Fontenay-Mauvoisin Quick edit Valid 2013-05-30 78245
78246 Fontenay-Saint-Père Quick edit Valid 2013-05-30 78246
78251 Fourqueux Quick edit Valid 2013-05-30 78251
78255 Freneuse Quick edit Valid 2013-05-30 78255
78261 Gaillon-sur-Montcient Quick edit Valid 2013-05-30 78261
78262 Galluis Quick edit Valid 2013-05-30 78262
78263 Gambais Quick edit Valid 2013-05-30 78263
78264 Gambaiseuil Quick edit Valid 2013-05-30 78264
78265 Garancières Quick edit Valid 2013-05-30 78265
78267 Gargenville Quick edit Valid 2013-05-30 78267
78269 Gazeran Quick edit Valid 2013-05-30 78269
78276 Gommecourt Quick edit Valid 2013-05-30 78276
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?