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 1,141 to 1,160.First5455565758596061Last
Id Label Status Status Modified Notation
DK04 Midtjylland Quick edit Valid 2013-09-25 DK04
DK041 Vestjylland Quick edit Valid 2013-09-25 DK041
DK042 Østjylland Quick edit Valid 2013-09-25 DK042
DK05 Nordjylland Quick edit Valid 2013-09-25 DK05
DK050 Nordjylland Quick edit Valid 2013-09-25 DK050
DKX Not regionalised/Unknown NUTS 1 Quick edit Valid 2013-09-25 DKX
DKXX Not regionalised/Unknown NUTS 2 Quick edit Valid 2013-09-25 DKXX
DKXXX Not regionalised/Unknown NUTS 3 Quick edit Valid 2013-09-25 DKXXX
DKZ Extra-Regio NUTS 1 Quick edit Valid 2013-09-25 DKZ
DKZZ Extra-Regio NUTS 2 Quick edit Valid 2013-09-25 DKZZ
DKZZZ Extra-Regio NUTS 3 Quick edit Valid 2013-09-25 DKZZZ
DK_CAP København Quick edit Valid 2013-09-25 DK_CAP
DM Dominica Quick edit Valid 2013-09-25 DM
DO Dominican Republic Quick edit Valid 2013-09-25 DO
DOM Domestic country Quick edit Valid 2013-09-25 DOM
DOM_FOR Domestic and foreign country Quick edit Valid 2023-02-16 DOM_FOR
DOT Domestic and outbound Quick edit Valid 2013-09-25 DOT
DO_CAP Santo Domingo (Dominican Republic) Quick edit Valid 2013-09-25 DO_CAP
DZ Algeria Quick edit Valid 2013-09-25 DZ
DZ_CAP Al-Jazair (Algiers) Quick edit Valid 2013-09-25 DZ_CAP
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?