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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 1,741 to 1,760.First8485868788899091Last
Id Label Status Status Modified Notation
FR624 Gers (NUTS 2013) Quick edit Valid 2013-09-25 FR624
FR625 Lot (NUTS 2013) Quick edit Valid 2013-09-25 FR625
FR626 Hautes-Pyrénées (NUTS 2013) Quick edit Valid 2013-09-25 FR626
FR627 Tarn (NUTS 2013) Quick edit Valid 2013-09-25 FR627
FR628 Tarn-et-Garonne (NUTS 2013) Quick edit Valid 2013-09-25 FR628
FR62_X_624 Midi-Pyrénées except Gers (NUTS 2013) Quick edit Valid 2013-09-25 FR62_X_624
FR63 Limousin (NUTS 2013) Quick edit Valid 2013-09-25 FR63
FR631 Corrèze (NUTS 2013) Quick edit Valid 2013-09-25 FR631
FR631_633 Corrèze, Haute-Vienne (NUTS 2013) Quick edit Valid 2013-09-25 FR631_633
FR632 Creuse (NUTS 2013) Quick edit Valid 2013-09-25 FR632
FR633 Haute-Vienne (NUTS 2013) Quick edit Valid 2013-09-25 FR633
FR7 Centre-Est (FR) (NUTS 2013) Quick edit Valid 2013-09-25 FR7
FR71 Rhône-Alpes (NUTS 2013) Quick edit Valid 2013-09-25 FR71
FR711 Ain (NUTS 2013) Quick edit Valid 2013-09-25 FR711
FR712 Ardèche (NUTS 2013) Quick edit Valid 2013-09-25 FR712
FR713 Drôme (NUTS 2013) Quick edit Valid 2013-09-25 FR713
FR714 Isère (NUTS 2013) Quick edit Valid 2013-09-25 FR714
FR715 Loire (NUTS 2013) Quick edit Valid 2013-09-25 FR715
FR716 Rhône (NUTS 2013) Quick edit Valid 2013-09-25 FR716
FR717 Savoie (NUTS 2013) Quick edit Valid 2013-09-25 FR717
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?