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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 641 to 660.First2930313233343536Last
Id Label Status Status Modified Notation
DE25C Weißenburg-Gunzenhausen Quick edit Valid 2013-09-25 DE25C
DE26 Unterfranken Quick edit Valid 2013-09-25 DE26
DE261 Aschaffenburg, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE261
DE262 Schweinfurt, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE262
DE263 Würzburg, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE263
DE264 Aschaffenburg, Landkreis Quick edit Valid 2013-09-25 DE264
DE265 Bad Kissingen Quick edit Valid 2013-09-25 DE265
DE266 Rhön-Grabfeld Quick edit Valid 2013-09-25 DE266
DE267 Haßberge Quick edit Valid 2013-09-25 DE267
DE268 Kitzingen Quick edit Valid 2013-09-25 DE268
DE269 Miltenberg Quick edit Valid 2013-09-25 DE269
DE26A Main-Spessart Quick edit Valid 2013-09-25 DE26A
DE26B Schweinfurt, Landkreis Quick edit Valid 2013-09-25 DE26B
DE26C Würzburg, Landkreis Quick edit Valid 2013-09-25 DE26C
DE27 Schwaben Quick edit Valid 2013-09-25 DE27
DE271 Augsburg, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE271
DE272 Kaufbeuren, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE272
DE273 Kempten (Allgäu), Kreisfreie Stadt Quick edit Valid 2013-09-25 DE273
DE274 Memmingen, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE274
DE275 Aichach-Friedberg Quick edit Valid 2013-09-25 DE275
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?