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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 661 to 680.First3031323334353637Last
Id Label Status Status Modified Notation
DE276 Augsburg, Landkreis Quick edit Valid 2013-09-25 DE276
DE277 Dillingen an der Donau Quick edit Valid 2013-09-25 DE277
DE278 Günzburg Quick edit Valid 2013-09-25 DE278
DE279 Neu-Ulm Quick edit Valid 2013-09-25 DE279
DE27A Lindau (Bodensee) Quick edit Valid 2013-09-25 DE27A
DE27B Ostallgäu Quick edit Valid 2013-09-25 DE27B
DE27C Unterallgäu Quick edit Valid 2013-09-25 DE27C
DE27D Donau-Ries Quick edit Valid 2013-09-25 DE27D
DE27E Oberallgäu Quick edit Valid 2013-09-25 DE27E
DE2FRA Franken Quick edit Valid 2013-09-25 DE2FRA
DE2_E Bayern - East Quick edit Valid 2013-09-25 DE2_E
DE2_N Bayern - North Quick edit Valid 2013-09-25 DE2_N
DE2_S Bayern - South Quick edit Valid 2013-09-25 DE2_S
DE3 Berlin Quick edit Valid 2013-09-25 DE3
DE30 Berlin Quick edit Valid 2013-09-25 DE30
DE300 Berlin Quick edit Valid 2013-09-25 DE300
DE301 Berlin-West, Stadt (NUTS 1999) Quick edit Valid 2013-09-25 DE301
DE302 Berlin-Ost, Stadt (NUTS 1999) Quick edit Valid 2013-09-25 DE302
DE3_5_6 Berlin, Bremen, Hamburg Quick edit Valid 2013-09-25 DE3_5_6
DE4 Brandenburg Quick edit Valid 2013-09-25 DE4
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?