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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 36,161 to 36,180.First1,8051,8061,8071,8081,8091,8101,8111,812Last
Id Label Status Status Modified Notation
91332 Leudeville Quick edit Valid 2013-05-30 91332
91333 Leuville-sur-Orge Quick edit Valid 2013-05-30 91333
91338 Limours Quick edit Valid 2013-05-30 91338
91339 Linas Quick edit Valid 2013-05-30 91339
91340 Lisses Quick edit Valid 2013-05-30 91340
91345 Longjumeau Quick edit Valid 2013-05-30 91345
91347 Longpont-sur-Orge Quick edit Valid 2013-05-30 91347
91359 Maisse Quick edit Valid 2013-05-30 91359
91363 Marcoussis Quick edit Valid 2013-05-30 91363
91374 Marolles-en-Beauce Quick edit Valid 2013-05-30 91374
91376 Marolles-en-Hurepoix Quick edit Valid 2013-05-30 91376
91377 Massy Quick edit Valid 2013-05-30 91377
91378 Mauchamps Quick edit Valid 2013-05-30 91378
91386 Mennecy Quick edit Valid 2013-05-30 91386
91390 Méréville Quick edit Valid 2013-05-30 91390
91393 Mérobert Quick edit Valid 2013-05-30 91393
91399 Mespuits Quick edit Valid 2013-05-30 91399
91405 Milly-la-Forêt Quick edit Valid 2013-05-30 91405
91408 Moigny-sur-École Quick edit Valid 2013-05-30 91408
91411 Les Molières Quick edit Valid 2013-05-30 91411
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?