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 881 to 900.First4142434445464748Last
Id Label Status Status Modified Notation
01060027 Großenaspe Quick edit Valid 2009-01-01 01060027
01060028 Groß Kummerfeld Quick edit Valid 2009-01-01 01060028
01060029 Groß Niendorf Quick edit Valid 2009-01-01 01060029
01060030 Groß Rönnau Quick edit Valid 2009-01-01 01060030
01060031 Hagen Quick edit Valid 2009-01-01 01060031
01060033 Hardebek Quick edit Valid 2009-01-01 01060033
01060034 Hartenholm Quick edit Valid 2009-01-01 01060034
01060035 Hasenkrug Quick edit Valid 2009-01-01 01060035
01060036 Hasenmoor Quick edit Valid 2009-01-01 01060036
01060037 Heidmoor Quick edit Valid 2009-01-01 01060037
01060038 Heidmühlen Quick edit Valid 2009-01-01 01060038
01060039 Henstedt-Ulzburg Quick edit Valid 2009-01-01 01060039
01060040 Hitzhusen Quick edit Valid 2009-01-01 01060040
01060041 Högersdorf Quick edit Valid 2009-01-01 01060041
01060042 Hüttblek Quick edit Valid 2009-01-01 01060042
01060043 Itzstedt Quick edit Valid 2009-01-01 01060043
01060044 Kaltenkirchen, Stadt Quick edit Valid 2009-01-01 01060044
01060045 Kattendorf Quick edit Valid 2009-01-01 01060045
01060046 Kayhude Quick edit Valid 2009-01-01 01060046
01060047 Kisdorf Quick edit Valid 2009-01-01 01060047
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?