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
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

11,204 concepts found, displaying 421 to 440.First1819202122232425Last
Id Label Status Status Modified Notation
01055044 Scharbeutz Quick edit Valid 2009-01-01 01055044
01055046 Fehmarn, Stadt Quick edit Valid 2009-01-01 01055046
01056001 Appen Quick edit Valid 2009-01-01 01056001
01056002 Barmstedt, Stadt Quick edit Valid 2009-01-01 01056002
01056003 Bevern Quick edit Valid 2009-01-01 01056003
01056004 Bilsen Quick edit Valid 2009-01-01 01056004
01056005 Bönningstedt Quick edit Valid 2009-01-01 01056005
01056006 Bokel Quick edit Valid 2009-01-01 01056006
01056008 Bokholt-Hanredder Quick edit Valid 2009-01-01 01056008
01056009 Borstel-Hohenraden Quick edit Valid 2009-01-01 01056009
01056010 Brande-Hörnerkirchen Quick edit Valid 2009-01-01 01056010
01056011 Bullenkuhlen Quick edit Valid 2009-01-01 01056011
01056013 Ellerbek Quick edit Valid 2009-01-01 01056013
01056014 Ellerhoop Quick edit Valid 2009-01-01 01056014
01056015 Elmshorn, Stadt Quick edit Valid 2009-01-01 01056015
01056016 Groß Nordende Quick edit Valid 2009-01-01 01056016
01056017 Groß Offenseth-Aspern Quick edit Valid 2009-01-01 01056017
01056018 Halstenbek Quick edit Valid 2009-01-01 01056018
01056019 Haselau Quick edit Valid 2009-01-01 01056019
01056020 Haseldorf Quick edit Valid 2009-01-01 01056020
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?