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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

28,510 concepts found, displaying 3,561 to 3,580.First175176177178179180181182Last
Id Label Status Status Modified Notation
DE3536303 Eschengehege nördlich Tangerhütte Quick edit Valid 2018-01-19 DE3536303
DE3536304 Kleingewässer westlich Werlberge Quick edit Valid 2018-01-19 DE3536304
DE3537303 Süppling westlich Weißewarte Quick edit Valid 2018-01-19 DE3537303
DE3540301 Große Freiheit bei Plaue Quick edit Valid 2018-01-19 DE3540301
DE3540302 Pelze Quick edit Valid 2018-01-19 DE3540302
DE3541301 Mittlere Havel Quick edit Valid 2018-01-19 DE3541301
DE3542301 Ketziner Havelinseln Quick edit Valid 2018-01-19 DE3542301
DE3542302 Deetzer Hügel Quick edit Valid 2018-01-19 DE3542302
DE3542303 Deetzer Hügel Ergänzung Quick edit Valid 2018-01-19 DE3542303
DE3542304 Steppenhügel im Havelland Quick edit Valid 2018-01-19 DE3542304
DE3542305 Mittlere Havel Ergänzung Quick edit Valid 2018-01-19 DE3542305
DE3542421 Mittlere Havelniederung Quick edit Valid 2018-01-19 DE3542421
DE3543301 Krielower See Quick edit Valid 2018-01-19 DE3543301
DE3543302 Obere Wublitz Quick edit Valid 2018-01-19 DE3543302
DE3543304 Wolfsbruch Quick edit Valid 2018-01-19 DE3543304
DE3544301 Pfaueninsel Quick edit Valid 2018-01-19 DE3544301
DE3544302 Giebelfenn Quick edit Valid 2018-01-19 DE3544302
DE3544303 Ferbitzer Bruch Quick edit Valid 2018-01-19 DE3544303
DE3544304 Sacrower See und Königswald Quick edit Valid 2018-01-19 DE3544304
DE3544305 Heldbockeichen Quick edit Valid 2018-01-19 DE3544305
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?