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 1,041 to 1,060.First4950515253545556Last
Id Label Status Status Modified Notation
01061097 Schenefeld Quick edit Valid 2009-01-01 01061097
01061098 Schlotfeld Quick edit Valid 2009-01-01 01061098
01061099 Siezbüttel Quick edit Valid 2009-01-01 01061099
01061100 Silzen Quick edit Valid 2009-01-01 01061100
01061101 Sommerland Quick edit Valid 2009-01-01 01061101
01061102 Stördorf Quick edit Valid 2009-01-01 01061102
01061103 Störkathen Quick edit Valid 2009-01-01 01061103
01061104 Süderau Quick edit Valid 2009-01-01 01061104
01061105 Vaale Quick edit Valid 2009-01-01 01061105
01061106 Vaalermoor Quick edit Valid 2009-01-01 01061106
01061107 Wacken Quick edit Valid 2009-01-01 01061107
01061108 Warringholz Quick edit Valid 2009-01-01 01061108
01061109 Westermoor Quick edit Valid 2009-01-01 01061109
01061110 Wewelsfleth Quick edit Valid 2009-01-01 01061110
01061111 Wiedenborstel Quick edit Valid 2009-01-01 01061111
01061112 Willenscharen Quick edit Valid 2009-01-01 01061112
01061113 Wilster, Stadt Quick edit Valid 2009-01-01 01061113
01061114 Winseldorf Quick edit Valid 2009-01-01 01061114
01061115 Wittenbergen Quick edit Valid 2009-01-01 01061115
01061116 Wrist Quick edit Valid 2009-01-01 01061116
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?