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
inCountry Vocabulary
Released
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29 Aug 2014
owl:sameAs Quantitative
Released
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30 Sep 2013
skos:altLabel Quantitative
Released
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24 Sep 2013
skos:broader Quantitative
Released
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30 Sep 2013
skos:exactMatch Quantitative
Released
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30 Sep 2013
skos:narrower Quantitative
Released
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17 Sep 2015
skos:narrowMatch Quantitative
Released
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30 Sep 2013
validFrom Quantitative
Released
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18 Nov 2024
validThrough Quantitative
Released
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18 Nov 2024

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

1,920 concepts found, displaying 641 to 660.First2930313233343536Last
Id Label Status Status Modified Notation
nuts2010.DEF07 NORDFRIESLAND Quick edit Deprecated - superseded 2024-12-03 DEF07
nuts2010.DEF08 OSTHOLSTEIN Quick edit Deprecated - superseded 2024-12-03 DEF08
nuts2010.DEF09 PINNEBERG Quick edit Deprecated - superseded 2024-12-03 DEF09
nuts2010.DEF0A PLÖN Quick edit Deprecated - superseded 2024-12-03 DEF0A
nuts2010.DEF0B RENDSBURG-ECKERNFÖRDE Quick edit Deprecated - superseded 2024-12-03 DEF0B
nuts2010.DEF0C SCHLESWIG-FLENSBURG Quick edit Deprecated - superseded 2024-12-03 DEF0C
nuts2010.DEF0D SEGEBERG Quick edit Deprecated - superseded 2024-12-03 DEF0D
nuts2010.DEF0E STEINBURG Quick edit Deprecated - superseded 2024-12-03 DEF0E
nuts2010.DEF0F STORMARN Quick edit Deprecated - superseded 2024-12-03 DEF0F
nuts2010.DEG THÜRINGEN Quick edit Deprecated - superseded 2024-12-03 DEG
nuts2010.DEG0 THÜRINGEN Quick edit Deprecated - superseded 2024-12-03 DEG0
nuts2010.DEG01 ERFURT, KREISFREIE STADT Quick edit Deprecated - superseded 2024-12-03 DEG01
nuts2010.DEG02 GERA, KREISFREIE STADT Quick edit Deprecated - superseded 2024-12-03 DEG02
nuts2010.DEG03 JENA, KREISFREIE STADT Quick edit Deprecated - superseded 2024-12-03 DEG03
nuts2010.DEG04 SUHL, KREISFREIE STADT Quick edit Deprecated - superseded 2024-12-03 DEG04
nuts2010.DEG05 WEIMAR, KREISFREIE STADT Quick edit Deprecated - superseded 2024-12-03 DEG05
nuts2010.DEG06 EICHSFELD Quick edit Deprecated - superseded 2024-12-03 DEG06
nuts2010.DEG07 NORDHAUSEN Quick edit Deprecated - superseded 2024-12-03 DEG07
nuts2010.DEG09 UNSTRUT-HAINICH-KREIS Quick edit Deprecated - superseded 2024-12-03 DEG09
nuts2010.DEG0A KYFFHÄUSERKREIS Quick edit Deprecated - superseded 2024-12-03 DEG0A
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?