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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
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 601 to 620.First2728293031323334Last
Id Label Status Status Modified Notation
DE22A Rottal-Inn Quick edit Valid 2013-09-25 DE22A
DE22B Straubing-Bogen Quick edit Valid 2013-09-25 DE22B
DE22C Dingolfing-Landau Quick edit Valid 2013-09-25 DE22C
DE23 Oberpfalz Quick edit Valid 2013-09-25 DE23
DE231 Amberg, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE231
DE232 Regensburg, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE232
DE233 Weiden in der Oberpfalz, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE233
DE234 Amberg-Sulzbach Quick edit Valid 2013-09-25 DE234
DE235 Cham Quick edit Valid 2013-09-25 DE235
DE236 Neumarkt in der Oberpfalz Quick edit Valid 2013-09-25 DE236
DE237 Neustadt an der Waldnaab Quick edit Valid 2013-09-25 DE237
DE238 Regensburg, Landkreis Quick edit Valid 2013-09-25 DE238
DE239 Schwandorf Quick edit Valid 2013-09-25 DE239
DE23A Tirschenreuth Quick edit Valid 2013-09-25 DE23A
DE24 Oberfranken Quick edit Valid 2013-09-25 DE24
DE241 Bamberg, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE241
DE242 Bayreuth, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE242
DE243 Coburg, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE243
DE244 Hof, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE244
DE245 Bamberg, Landkreis Quick edit Valid 2013-09-25 DE245
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?