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 10,341 to 10,360.First514515516517518519520521Last
Id Label Status Status Modified Notation
16061104 Weißenborn-Lüderode Quick edit Valid 2009-01-01 16061104
16061105 Wiesenfeld Quick edit Valid 2009-01-01 16061105
16061107 Wingerode Quick edit Valid 2009-01-01 16061107
16061111 Wüstheuterode Quick edit Valid 2009-01-01 16061111
16061112 Zwinge Quick edit Valid 2009-01-01 16061112
16061113 Schimberg Quick edit Valid 2009-01-01 16061113
16061114 Teistungen Quick edit Valid 2009-01-01 16061114
16061115 Leinefelde-Worbis, Stadt Quick edit Valid 2009-01-01 16061115
16062001 Auleben Quick edit Valid 2009-01-01 16062001
16062002 Bleicherode, Stadt Quick edit Valid 2009-01-01 16062002
16062004 Buchholz Quick edit Valid 2009-01-01 16062004
16062005 Ellrich, Stadt Quick edit Valid 2009-01-01 16062005
16062006 Etzelsrode Quick edit Valid 2009-01-01 16062006
16062007 Friedrichsthal Quick edit Valid 2009-01-01 16062007
16062008 Görsbach Quick edit Valid 2009-01-01 16062008
16062009 Großlohra Quick edit Valid 2009-01-01 16062009
16062014 Hainrode/Hainleite Quick edit Valid 2009-01-01 16062014
16062015 Hamma Quick edit Valid 2009-01-01 16062015
16062016 Harzungen Quick edit Valid 2009-01-01 16062016
16062017 Heringen/Helme, Stadt Quick edit Valid 2009-01-01 16062017
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?