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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 3,101 to 3,120.First152153154155156157158159Last
Id Label Status Status Modified Notation
DE2851301 Müllerberge Quick edit Valid 2018-01-19 DE2851301
DE2851302 Trockenrasen Jamikow Quick edit Valid 2018-01-19 DE2851302
DE2851303 Welsetalhänge bei Kunow Quick edit Valid 2018-01-19 DE2851303
DE2851304 Trockenrasen Groß Pinnow Quick edit Valid 2018-01-19 DE2851304
DE2909401 Emstal von Lathen bis Papenburg Quick edit Valid 2018-01-19 DE2909401
DE2910301 Krummes Meer, Aschendorfer Obermoor Quick edit Valid 2018-01-19 DE2910301
DE2911301 Leegmoor Quick edit Valid 2018-01-19 DE2911301
DE2911302 Esterweger Dose Quick edit Valid 2018-01-19 DE2911302
DE2911401 Esterweger Dose Quick edit Valid 2018-01-19 DE2911401
DE2912331 Lahe Quick edit Valid 2018-01-19 DE2912331
DE2912332 Ohe Quick edit Valid 2018-01-19 DE2912332
DE2913331 Sandgrube Pirgo Quick edit Valid 2018-01-19 DE2913331
DE2915331 Tannersand und Gierenberg Quick edit Valid 2018-01-19 DE2915331
DE2916301 Hasbruch Quick edit Valid 2018-01-19 DE2916301
DE2916331 Stühe Quick edit Valid 2018-01-19 DE2916331
DE2917331 Delmetal zwischen Harpstedt und Delmenhorst Quick edit Valid 2018-01-19 DE2917331
DE2917332 Stenumer Holz Quick edit Valid 2018-01-19 DE2917332
DE2918302 Binnensalzstelle Rethriehen Quick edit Valid 2018-01-19 DE2918302
DE2918331 Steller Heide Quick edit Valid 2018-01-19 DE2918331
DE2918370 Niedervieland-Stromer Feldmark Quick edit Valid 2018-01-19 DE2918370
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?