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
coreCityOf Quantitative
Released
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  • Step 4
  • Step 5
20 Oct 2013
hasDistrict Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
20 Oct 2013
inCountry Vocabulary
Released
  • Step 1
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  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:broader Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:closeMatch 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
skos:narrower Quantitative
Released
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  • Step 4
  • Step 5
17 Sep 2015

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

13,394 concepts found, displaying 1,361 to 1,380.First6566676869707172Last
Id Label Status Status Modified Notation
DE002D00810 Ottensen Quick edit Valid 2013-06-11 DE002D00810
DE002D00811 Bahrenfeld Quick edit Valid 2013-06-11 DE002D00811
DE002D00812 Groß Flottbek/Othmarschen Quick edit Valid 2013-06-11 DE002D00812
DE002D00813 Blankenese/Nienstedten Quick edit Valid 2013-06-11 DE002D00813
DE002D00814 Westliche Elbvororte Quick edit Valid 2013-06-11 DE002D00814
DE002D00815 Lurup Quick edit Valid 2013-06-11 DE002D00815
DE002D00816 Osdorf Quick edit Valid 2013-06-11 DE002D00816
DE002D00817 Eimsbüttel-West Quick edit Valid 2013-06-11 DE002D00817
DE002D00818 Eimsbüttel-Ost Quick edit Valid 2013-06-11 DE002D00818
DE002D00819 Rotherbaum/Harvestehude Quick edit Valid 2013-06-11 DE002D00819
DE002D00820 Lokstedt Quick edit Valid 2013-06-11 DE002D00820
DE002D00821 Niendorf Quick edit Valid 2013-06-11 DE002D00821
DE002D00822 Schnelsen Quick edit Valid 2013-06-11 DE002D00822
DE002D00823 Eidelstedt Quick edit Valid 2013-06-11 DE002D00823
DE002D00824 Stellingen Quick edit Valid 2013-06-11 DE002D00824
DE002D00825 Eppendorf Quick edit Valid 2013-06-11 DE002D00825
DE002D00826 Großraum Fuhlsbüttel Quick edit Valid 2013-06-11 DE002D00826
DE002D00827 Winterhude-Nord Quick edit Valid 2013-06-11 DE002D00827
DE002D00828 Winterhude-Süd Quick edit Valid 2013-06-11 DE002D00828
DE002D00829 Uhlenhorst/Hohenfelde Quick edit Valid 2013-06-11 DE002D00829
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?