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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 2,681 to 2,700.First131132133134135136137138Last
Id Label Status Status Modified Notation
DE2328381 NSG Kranika Quick edit Valid 2018-01-19 DE2328381
DE2328391 Trittauer Mühlenbach und Drahtmühlengebiet Quick edit Valid 2018-01-19 DE2328391
DE2328401 NSG Hahnheide Quick edit Valid 2018-01-19 DE2328401
DE2328491 Waldgebiete in Lauenburg Quick edit Valid 2018-01-19 DE2328491
DE2329301 Lankauer See Quick edit Valid 2018-01-19 DE2329301
DE2329351 Koberger Moor Quick edit Valid 2018-01-19 DE2329351
DE2329352 Pantener Moorweiher und Umgebung Quick edit Valid 2018-01-19 DE2329352
DE2329353 Quellwald am Ankerschen See Quick edit Valid 2018-01-19 DE2329353
DE2329381 NSG Borstgrasrasen Alt Mölln Quick edit Valid 2018-01-19 DE2329381
DE2329391 Wälder des Hevenbruch und des Koberger Forstes Quick edit Valid 2018-01-19 DE2329391
DE2330351 Moorwald im Ankerschen Ziegelbruch Quick edit Valid 2018-01-19 DE2330351
DE2330353 NSG Oldenburger See und Umgebung Quick edit Valid 2018-01-19 DE2330353
DE2330391 Salemer Moor und angrenzende Wälder und Seen Quick edit Valid 2018-01-19 DE2330391
DE2331306 Schaalsee (MV) Quick edit Valid 2018-01-19 DE2331306
DE2331393 Amphibiengebiete westlich Kittlitz Quick edit Valid 2018-01-19 DE2331393
DE2331394 Schaalsee mit angrenzenden Wäldern und Seen Quick edit Valid 2018-01-19 DE2331394
DE2331471 Schaalsee-Landschaft Quick edit Valid 2018-01-19 DE2331471
DE2331491 Schaalsee-Gebiet Quick edit Valid 2018-01-19 DE2331491
DE2332301 Schönwolder Moor Quick edit Valid 2018-01-19 DE2332301
DE2334302 Görslower Ufer Quick edit Valid 2018-01-19 DE2334302
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?