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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 36,461 to 36,480.First1,8201,8211,8221,8231,8241,8251,8261,827Last
Id Label Status Status Modified Notation
95268 Garges-lès-Gonesse Quick edit Valid 2013-05-30 95268
95270 Genainville Quick edit Valid 2013-05-30 95270
95271 Génicourt Quick edit Valid 2013-05-30 95271
95277 Gonesse Quick edit Valid 2013-05-30 95277
95280 Goussainville Quick edit Valid 2013-05-30 95280
95282 Gouzangrez Quick edit Valid 2013-05-30 95282
95287 Grisy-les-Plâtres Quick edit Valid 2013-05-30 95287
95288 Groslay Quick edit Valid 2013-05-30 95288
95295 Guiry-en-Vexin Quick edit Valid 2013-05-30 95295
95298 Haravilliers Quick edit Valid 2013-05-30 95298
95301 Haute-Isle Quick edit Valid 2013-05-30 95301
95303 Le Heaulme Quick edit Valid 2013-05-30 95303
95304 Hédouville Quick edit Valid 2013-05-30 95304
95306 Herblay Quick edit Valid 2013-05-30 95306
95308 Hérouville Quick edit Valid 2013-05-30 95308
95309 Hodent Quick edit Valid 2013-05-30 95309
95313 L' Isle-Adam Quick edit Valid 2013-05-30 95313
95316 Jagny-sous-Bois Quick edit Valid 2013-05-30 95316
95323 Jouy-le-Moutier Quick edit Valid 2013-05-30 95323
95328 Labbeville Quick edit Valid 2013-05-30 95328
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?