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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 3,761 to 3,780.First185186187188189190191192Last
Id Label Status Status Modified Notation
DE3740302 Buckau und Nebenfließe Quick edit Valid 2018-01-19 DE3740302
DE3740303 Verlorenwasserbach Quick edit Valid 2018-01-19 DE3740303
DE3741301 Bullenberger Bach Quick edit Valid 2018-01-19 DE3741301
DE3741302 Mittelbruch Quick edit Valid 2018-01-19 DE3741302
DE3742301 Baitzer Bach Quick edit Valid 2018-01-19 DE3742301
DE3742302 Hackenheide Quick edit Valid 2018-01-19 DE3742302
DE3743301 Seddiner Heidemoore und Düne Quick edit Valid 2018-01-19 DE3743301
DE3744301 Nuthe-Nieplitz-Niederung Quick edit Valid 2018-01-19 DE3744301
DE3744421 Nuthe-Nieplitz-Niederung Quick edit Valid 2018-01-19 DE3744421
DE3745302 Kalkmagerrasen Trebbin Quick edit Valid 2018-01-19 DE3745302
DE3746302 Prierowsee Quick edit Valid 2018-01-19 DE3746302
DE3746304 Dünen Dabendorf Quick edit Valid 2018-01-19 DE3746304
DE3746305 Königsgraben und Schleuse Mellensee Quick edit Valid 2018-01-19 DE3746305
DE3746307 Müllergraben Quick edit Valid 2018-01-19 DE3746307
DE3746308 Umgebung Prierowsee Quick edit Valid 2018-01-19 DE3746308
DE3746309 Zülow-Niederung Quick edit Valid 2018-01-19 DE3746309
DE3747301 Sutschketal Quick edit Valid 2018-01-19 DE3747301
DE3747302 Tiergarten Quick edit Valid 2018-01-19 DE3747302
DE3747304 Pätzer Hintersee Quick edit Valid 2018-01-19 DE3747304
DE3747305 Großmachnower Weinberg Quick edit Valid 2018-01-19 DE3747305
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?