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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 35,401 to 35,420.First1,7671,7681,7691,7701,7711,7721,7731,774Last
Id Label Status Status Modified Notation
88424 Sainte-Marguerite Quick edit Valid 2013-05-30 88424
88425 Saint-Maurice-sur-Mortagne Quick edit Valid 2013-05-30 88425
88426 Saint-Maurice-sur-Moselle Quick edit Valid 2013-05-30 88426
88427 Saint-Menge Quick edit Valid 2013-05-30 88427
88428 Saint-Michel-sur-Meurthe Quick edit Valid 2013-05-30 88428
88429 Saint-Nabord Quick edit Valid 2013-05-30 88429
88430 Saint-Ouen-lès-Parey Quick edit Valid 2013-05-30 88430
88431 Saint-Paul Quick edit Valid 2013-05-30 88431
88432 Saint-Pierremont Quick edit Valid 2013-05-30 88432
88433 Saint-Prancher Quick edit Valid 2013-05-30 88433
88434 Saint-Remimont Quick edit Valid 2013-05-30 88434
88435 Saint-Remy Quick edit Valid 2013-05-30 88435
88436 Saint-Stail Quick edit Valid 2013-05-30 88436
88437 Saint-Vallier Quick edit Valid 2013-05-30 88437
88438 La Salle Quick edit Valid 2013-05-30 88438
88439 Sanchey Quick edit Valid 2013-05-30 88439
88440 Sandaucourt Quick edit Valid 2013-05-30 88440
88441 Sans-Vallois Quick edit Valid 2013-05-30 88441
88442 Sapois Quick edit Valid 2013-05-30 88442
88443 Sartes Quick edit Valid 2013-05-30 88443
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?