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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
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 3,281 to 3,300.First161162163164165166167168Last
Id Label Status Status Modified Notation
DE3132401 Landgraben-Dumme-Niederung Quick edit Valid 2018-01-19 DE3132401
DE3134301 Arendsee Quick edit Valid 2018-01-19 DE3134301
DE3134302 Weideflächen bei Kraatz Quick edit Valid 2018-01-19 DE3134302
DE3136301 Krumker Holz und Wälder östlich Drüsedau Quick edit Valid 2018-01-19 DE3136301
DE3137301 Lennewitzer Eichen Quick edit Valid 2018-01-19 DE3137301
DE3138301 Elbaue Werben und Alte Elbe Kannenberg Quick edit Valid 2018-01-19 DE3138301
DE3138302 Havel nördlich Havelberg Quick edit Valid 2018-01-19 DE3138302
DE3138303 Quitzöbler Dünengebiet Quick edit Valid 2018-01-19 DE3138303
DE3139301 Dosseniederung Quick edit Valid 2018-01-19 DE3139301
DE3140301 Bärenbusch Quick edit Valid 2018-01-19 DE3140301
DE3142301 Unteres Rhinluch - Dreetzer See Ergänzung Quick edit Valid 2018-01-19 DE3142301
DE3143301 Südufer Ruppiner See Quick edit Valid 2018-01-19 DE3143301
DE3145421 Obere Havelniederung Quick edit Valid 2018-01-19 DE3145421
DE3146301 Schnelle Havel Quick edit Valid 2018-01-19 DE3146301
DE3146302 Langer Trödel Quick edit Valid 2018-01-19 DE3146302
DE3146303 Kreuzbruch Quick edit Valid 2018-01-19 DE3146303
DE3147301 Finowtal - Pregnitzfließ Quick edit Valid 2018-01-19 DE3147301
DE3147303 Fledermausquartier Lagerbunker Pechteich Quick edit Valid 2018-01-19 DE3147303
DE3148301 Nonnenfließ-Schwärzetal Quick edit Valid 2018-01-19 DE3148301
DE3148302 Buckowseerinne Quick edit Valid 2018-01-19 DE3148302
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?