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Data Dictionary
Edit vocabulary

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 441 to 460.First1920212223242526Last
Id Label Status Status Modified Notation
01056021 Hasloh Quick edit Valid 2009-01-01 01056021
01056022 Heede Quick edit Valid 2009-01-01 01056022
01056023 Heidgraben Quick edit Valid 2009-01-01 01056023
01056024 Heist Quick edit Valid 2009-01-01 01056024
01056025 Helgoland Quick edit Valid 2009-01-01 01056025
01056026 Hemdingen Quick edit Valid 2009-01-01 01056026
01056027 Hetlingen Quick edit Valid 2009-01-01 01056027
01056028 Holm Quick edit Valid 2009-01-01 01056028
01056029 Klein Nordende Quick edit Valid 2009-01-01 01056029
01056030 Klein Offenseth-Sparrieshoop Quick edit Valid 2009-01-01 01056030
01056031 Kölln-Reisiek Quick edit Valid 2009-01-01 01056031
01056032 Kummerfeld Quick edit Valid 2009-01-01 01056032
01056033 Seester Quick edit Valid 2009-01-01 01056033
01056034 Langeln Quick edit Valid 2009-01-01 01056034
01056035 Lutzhorn Quick edit Valid 2009-01-01 01056035
01056036 Moorrege Quick edit Valid 2009-01-01 01056036
01056037 Neuendeich Quick edit Valid 2009-01-01 01056037
01056038 Osterhorn Quick edit Valid 2009-01-01 01056038
01056039 Pinneberg, Stadt Quick edit Valid 2009-01-01 01056039
01056040 Prisdorf Quick edit Valid 2009-01-01 01056040
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?