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
dct:isReplacedBy Quantitative
Released
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08 Oct 2013
dct:replaces Quantitative
Released
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08 Oct 2013
hasIdentifierScheme Vocabulary
Released
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22 Nov 2024
hasSpecialisedZoneType Vocabulary
Released
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03 Nov 2015
hasZoneType Vocabulary
Released
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18 Oct 2016
skos:altLabel Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
24 Sep 2013
skos:broader Quantitative
Released
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  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
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  • Step 5
17 Sep 2015
skos:narrowMatch Quantitative
Released
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  • Step 5
30 Sep 2013
validFrom Quantitative
Released
  • Step 1
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  • Step 5
18 Nov 2024
validThrough Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
18 Nov 2024

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

1,793 concepts found, displaying 601 to 620.First2728293031323334Last
Id Label Status Status Modified Notation
nuts2024.DEC02 MERZIG-WADERN Quick edit Valid - stable 2024-12-03 DEC02
nuts2024.DEC03 NEUNKIRCHEN Quick edit Valid - stable 2024-12-03 DEC03
nuts2024.DEC04 SAARLOUIS Quick edit Valid - stable 2024-12-03 DEC04
nuts2024.DEC05 SAARPFALZ-KREIS Quick edit Valid - stable 2024-12-03 DEC05
nuts2024.DEC06 ST. WENDEL Quick edit Valid - stable 2024-12-03 DEC06
nuts2024.DED SACHSEN Quick edit Valid - stable 2024-12-03 DED
nuts2024.DED2 DRESDEN Quick edit Valid - stable 2024-12-03 DED2
nuts2024.DED21 DRESDEN, KREISFREIE STADT Quick edit Valid - stable 2024-12-03 DED21
nuts2024.DED2C BAUTZEN Quick edit Valid - stable 2024-12-03 DED2C
nuts2024.DED2D GÖRLITZ Quick edit Valid - stable 2024-12-03 DED2D
nuts2024.DED2E MEIßEN Quick edit Valid - stable 2024-12-03 DED2E
nuts2024.DED2F SÄCHSISCHE SCHWEIZ-OSTERZGEBIRGE Quick edit Valid - stable 2024-12-03 DED2F
nuts2024.DED4 CHEMNITZ Quick edit Valid - stable 2024-12-03 DED4
nuts2024.DED41 CHEMNITZ, KREISFREIE STADT Quick edit Valid - stable 2024-12-03 DED41
nuts2024.DED42 ERZGEBIRGSKREIS Quick edit Valid - stable 2024-12-03 DED42
nuts2024.DED43 MITTELSACHSEN Quick edit Valid - stable 2024-12-03 DED43
nuts2024.DED44 VOGTLANDKREIS Quick edit Valid - stable 2024-12-03 DED44
nuts2024.DED45 ZWICKAU Quick edit Valid - stable 2024-12-03 DED45
nuts2024.DED5 LEIPZIG Quick edit Valid - stable 2024-12-03 DED5
nuts2024.DED51 LEIPZIG, KREISFREIE STADT Quick edit Valid - stable 2024-12-03 DED51
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?