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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 32,961 to 32,980.First1,6451,6461,6471,6481,6491,6501,6511,652Last
Id Label Status Status Modified Notation
80350 Franvillers Quick edit Valid 2013-05-30 80350
80351 Fréchencourt Quick edit Valid 2013-05-30 80351
80352 Frémontiers Quick edit Valid 2013-05-30 80352
80353 Fresnes-Mazancourt Quick edit Valid 2013-05-30 80353
80354 Fresnes-Tilloloy Quick edit Valid 2013-05-30 80354
80355 Fresneville Quick edit Valid 2013-05-30 80355
80356 Fresnoy-Andainville Quick edit Valid 2013-05-30 80356
80357 Fresnoy-au-Val Quick edit Valid 2013-05-30 80357
80358 Fresnoy-en-Chaussée Quick edit Valid 2013-05-30 80358
80359 Fresnoy-lès-Roye Quick edit Valid 2013-05-30 80359
80360 Fressenneville Quick edit Valid 2013-05-30 80360
80361 Frettecuisse Quick edit Valid 2013-05-30 80361
80362 Frettemeule Quick edit Valid 2013-05-30 80362
80364 Friaucourt Quick edit Valid 2013-05-30 80364
80365 Fricamps Quick edit Valid 2013-05-30 80365
80366 Fricourt Quick edit Valid 2013-05-30 80366
80367 Frise Quick edit Valid 2013-05-30 80367
80368 Friville-Escarbotin Quick edit Valid 2013-05-30 80368
80369 Frohen-sur-Authie Quick edit Valid 2013-05-30 80369
80371 Froyelles Quick edit Valid 2013-05-30 80371
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?