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 1,121 to 1,140.First5354555657585960Last
Id Label Status Status Modified Notation
DK007 Bornholms amt (NUTS 1999) Quick edit Valid 2013-09-25 DK007
DK008 Fyns amt (NUTS 1999) Quick edit Valid 2013-09-25 DK008
DK009 Sønderjyllands amt (NUTS 1999) Quick edit Valid 2013-09-25 DK009
DK00A Ribe amt (NUTS 1999) Quick edit Valid 2013-09-25 DK00A
DK00B Vejle amt (NUTS 1999) Quick edit Valid 2013-09-25 DK00B
DK00C Ringkøbing amt (NUTS 1999) Quick edit Valid 2013-09-25 DK00C
DK00D Århus amt (NUTS 1999) Quick edit Valid 2013-09-25 DK00D
DK00E Viborg amt (NUTS 1999) Quick edit Valid 2013-09-25 DK00E
DK00F Nordjyllands amt (NUTS 1999) Quick edit Valid 2013-09-25 DK00F
DK01 Hovedstaden Quick edit Valid 2013-09-25 DK01
DK011 Byen København Quick edit Valid 2013-09-25 DK011
DK012 Københavns omegn Quick edit Valid 2013-09-25 DK012
DK013 Nordsjælland Quick edit Valid 2013-09-25 DK013
DK014 Bornholm Quick edit Valid 2013-09-25 DK014
DK02 Sjælland Quick edit Valid 2013-09-25 DK02
DK021 Østsjælland Quick edit Valid 2013-09-25 DK021
DK022 Vest- og Sydsjælland Quick edit Valid 2013-09-25 DK022
DK03 Syddanmark Quick edit Valid 2013-09-25 DK03
DK031 Fyn Quick edit Valid 2013-09-25 DK031
DK032 Sydjylland Quick edit Valid 2013-09-25 DK032
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?