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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 33,061 to 33,080.First1,6501,6511,6521,6531,6541,6551,6561,657Last
Id Label Status Status Modified Notation
80459 Laleu Quick edit Valid 2013-05-30 80459
80460 Lamaronde Quick edit Valid 2013-05-30 80460
80461 Lamotte-Brebière Quick edit Valid 2013-05-30 80461
80462 Lamotte-Buleux Quick edit Valid 2013-05-30 80462
80463 Lamotte-Warfusée Quick edit Valid 2013-05-30 80463
80464 Lanchères Quick edit Valid 2013-05-30 80464
80465 Languevoisin-Quiquery Quick edit Valid 2013-05-30 80465
80466 Lanches-Saint-Hilaire Quick edit Valid 2013-05-30 80466
80467 Laucourt Quick edit Valid 2013-05-30 80467
80468 Laviéville Quick edit Valid 2013-05-30 80468
80469 Lawarde-Mauger-l'Hortoy Quick edit Valid 2013-05-30 80469
80470 Léalvillers Quick edit Valid 2013-05-30 80470
80472 Lesboeufs Quick edit Valid 2013-05-30 80472
80473 Liancourt-Fosse Quick edit Valid 2013-05-30 80473
80474 Licourt Quick edit Valid 2013-05-30 80474
80475 Liéramont Quick edit Valid 2013-05-30 80475
80476 Liercourt Quick edit Valid 2013-05-30 80476
80477 Ligescourt Quick edit Valid 2013-05-30 80477
80478 Lignières Quick edit Valid 2013-05-30 80478
80479 Lignières-Châtelain Quick edit Valid 2013-05-30 80479
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?