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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 36,181 to 36,200.First1,8061,8071,8081,8091,8101,8111,8121,813Last
Id Label Status Status Modified Notation
91412 Mondeville Quick edit Valid 2013-05-30 91412
91414 Monnerville Quick edit Valid 2013-05-30 91414
91421 Montgeron Quick edit Valid 2013-05-30 91421
91425 Montlhéry Quick edit Valid 2013-05-30 91425
91432 Morangis Quick edit Valid 2013-05-30 91432
91433 Morigny-Champigny Quick edit Valid 2013-05-30 91433
91434 Morsang-sur-Orge Quick edit Valid 2013-05-30 91434
91435 Morsang-sur-Seine Quick edit Valid 2013-05-30 91435
91441 Nainville-les-Roches Quick edit Valid 2013-05-30 91441
91457 La Norville Quick edit Valid 2013-05-30 91457
91458 Nozay Quick edit Valid 2013-05-30 91458
91461 Ollainville Quick edit Valid 2013-05-30 91461
91463 Oncy-sur-École Quick edit Valid 2013-05-30 91463
91468 Ormoy Quick edit Valid 2013-05-30 91468
91469 Ormoy-la-Rivière Quick edit Valid 2013-05-30 91469
91471 Orsay Quick edit Valid 2013-05-30 91471
91473 Orveau Quick edit Valid 2013-05-30 91473
91477 Palaiseau Quick edit Valid 2013-05-30 91477
91479 Paray-Vieille-Poste Quick edit Valid 2013-05-30 91479
91482 Pecqueuse Quick edit Valid 2013-05-30 91482
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?