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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 32,241 to 32,260.First1,6091,6101,6111,6121,6131,6141,6151,616Last
Id Label Status Status Modified Notation
78466 Orgeval Quick edit Valid 2013-05-30 78466
78470 Orphin Quick edit Valid 2013-05-30 78470
78472 Orsonville Quick edit Valid 2013-05-30 78472
78474 Orvilliers Quick edit Valid 2013-05-30 78474
78475 Osmoy Quick edit Valid 2013-05-30 78475
78478 Paray-Douaville Quick edit Valid 2013-05-30 78478
78481 Le Pecq Quick edit Valid 2013-05-30 78481
78484 Perdreauville Quick edit Valid 2013-05-30 78484
78486 Le Perray-en-Yvelines Quick edit Valid 2013-05-30 78486
78490 Plaisir Quick edit Valid 2013-05-30 78490
78497 Poigny-la-Forêt Quick edit Valid 2013-05-30 78497
78498 Poissy Quick edit Valid 2013-05-30 78498
78499 Ponthévrard Quick edit Valid 2013-05-30 78499
78501 Porcheville Quick edit Valid 2013-05-30 78501
78502 Le Port-Marly Quick edit Valid 2013-05-30 78502
78503 Port-Villez Quick edit Valid 2013-05-30 78503
78505 Prunay-le-Temple Quick edit Valid 2013-05-30 78505
78506 Prunay-en-Yvelines Quick edit Valid 2013-05-30 78506
78513 La Queue-les-Yvelines Quick edit Valid 2013-05-30 78513
78516 Raizeux Quick edit Valid 2013-05-30 78516
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?