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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 33,021 to 33,040.First1,6481,6491,6501,6511,6521,6531,6541,655Last
Id Label Status Status Modified Notation
80415 Hangest-en-Santerre Quick edit Valid 2013-05-30 80415
80416 Hangest-sur-Somme Quick edit Valid 2013-05-30 80416
80417 Harbonnières Quick edit Valid 2013-05-30 80417
80418 Hardecourt-aux-Bois Quick edit Valid 2013-05-30 80418
80419 Hargicourt Quick edit Valid 2013-05-30 80419
80420 Harponville Quick edit Valid 2013-05-30 80420
80421 Hattencourt Quick edit Valid 2013-05-30 80421
80422 Hautvillers-Ouville Quick edit Valid 2013-05-30 80422
80423 Havernas Quick edit Valid 2013-05-30 80423
80424 Hébécourt Quick edit Valid 2013-05-30 80424
80425 Hédauville Quick edit Valid 2013-05-30 80425
80426 Heilly Quick edit Valid 2013-05-30 80426
80427 Hem-Hardinval Quick edit Valid 2013-05-30 80427
80428 Hem-Monacu Quick edit Valid 2013-05-30 80428
80429 Hénencourt Quick edit Valid 2013-05-30 80429
80430 Herbécourt Quick edit Valid 2013-05-30 80430
80431 Hérissart Quick edit Valid 2013-05-30 80431
80432 Herleville Quick edit Valid 2013-05-30 80432
80433 Herly Quick edit Valid 2013-05-30 80433
80434 Hervilly Quick edit Valid 2013-05-30 80434
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?