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 1,101 to 1,120.First5253545556575859Last
Id Label Status Status Modified Notation
DEXXX Not regionalised/Unknown NUTS 3 Quick edit Valid 2013-09-25 DEXXX
DEZ Extra-Regio NUTS 1 Quick edit Valid 2013-09-25 DEZ
DEZZ Extra-Regio NUTS 2 Quick edit Valid 2013-09-25 DEZZ
DEZZZ Extra-Regio NUTS 3 Quick edit Valid 2013-09-25 DEZZZ
DE_CAP Berlin Quick edit Valid 2013-09-25 DE_CAP
DE_DEL1 Karlsruhe Quick edit Valid 2013-09-25 DE_DEL1
DE_DEL2 München Quick edit Valid 2013-09-25 DE_DEL2
DE_DEL3 Bonn Quick edit Valid 2013-09-25 DE_DEL3
DE_TOT Germany including former GDR Quick edit Valid 2013-09-25 DE_TOT
DJ Djibouti Quick edit Valid 2013-09-25 DJ
DJ_CAP Djibouti Quick edit Valid 2013-09-25 DJ_CAP
DK Denmark Quick edit Valid 2013-09-25 DK
DK0 Danmark Quick edit Valid 2013-09-25 DK0
DK001 København og Frederiksberg Kommuner (NUTS 1999) Quick edit Valid 2013-09-25 DK001
DK001-004 København og Frederiksberg Kommuner, Roskilde amt, Københavns amt, Frederiksborg amt (NUTS 1999) Quick edit Valid 2013-09-25 DK001-004
DK002 Københavns amt (NUTS 1999) Quick edit Valid 2013-09-25 DK002
DK003 Frederiksborg amt (NUTS 1999) Quick edit Valid 2013-09-25 DK003
DK004 Roskilde amt (NUTS 1999) Quick edit Valid 2013-09-25 DK004
DK005 Vestsjællands amt (NUTS 1999) Quick edit Valid 2013-09-25 DK005
DK006 Storstrøms amt (NUTS 1999) Quick edit Valid 2013-09-25 DK006
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?