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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 701 to 720.First3233343536373839Last
Id Label Status Status Modified Notation
DE411 Frankfurt (Oder), Kreisfreie Stadt (NUTS 2006) Quick edit Valid 2013-09-25 DE411
DE412 Barnim (NUTS 2006) Quick edit Valid 2013-09-25 DE412
DE413 Märkisch-Oderland (NUTS 2006) Quick edit Valid 2013-09-25 DE413
DE414 Oberhavel (NUTS 2006) Quick edit Valid 2013-09-25 DE414
DE415 Oder-Spree (NUTS 2006) Quick edit Valid 2013-09-25 DE415
DE416 Ostprignitz-Ruppin (NUTS 2006) Quick edit Valid 2013-09-25 DE416
DE417 Prignitz (NUTS 2006) Quick edit Valid 2013-09-25 DE417
DE418 Uckermark (NUTS 2006) Quick edit Valid 2013-09-25 DE418
DE42 Brandenburg - Südwest (NUTS 2006) Quick edit Valid 2013-09-25 DE42
DE421 Brandenburg an der Havel, Kreisfreie Stadt (NUTS 2006) Quick edit Valid 2013-09-25 DE421
DE422 Cottbus, Kreisfreie Stadt (NUTS 2006) Quick edit Valid 2013-09-25 DE422
DE423 Potsdam, Kreisfreie Stadt (NUTS 2006) Quick edit Valid 2013-09-25 DE423
DE424 Dahme-Spreewald (NUTS 2006) Quick edit Valid 2013-09-25 DE424
DE425 Elbe-Elster (NUTS 2006) Quick edit Valid 2013-09-25 DE425
DE426 Havelland (NUTS 2006) Quick edit Valid 2013-09-25 DE426
DE427 Oberspreewald-Lausitz (NUTS 2006) Quick edit Valid 2013-09-25 DE427
DE428 Potsdam-Mittelmark (NUTS 2006) Quick edit Valid 2013-09-25 DE428
DE429 Spree-Neiße (NUTS 2006) Quick edit Valid 2013-09-25 DE429
DE42A Teltow-Fläming (NUTS 2006) Quick edit Valid 2013-09-25 DE42A
DE5 Bremen Quick edit Valid 2013-09-25 DE5
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?