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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 3,801 to 3,820.First187188189190191192193194Last
Id Label Status Status Modified Notation
DE3752304 Fledermausquartier Markendorfer Eiskeller Quick edit Valid 2018-01-19 DE3752304
DE3753301 Ziltendorfer Düne Quick edit Valid 2018-01-19 DE3753301
DE3753302 Wacholderhänge Lossow Quick edit Valid 2018-01-19 DE3753302
DE3753303 Fledermausquartier Keller der ehem. Marmeladenfabrik Brieskow-F. Quick edit Valid 2018-01-19 DE3753303
DE3754303 Mittlere Oder Quick edit Valid 2018-01-19 DE3754303
DE3806301 Lüntener Fischteich u. Ammeloer Venn Quick edit Valid 2018-01-19 DE3806301
DE3807301 Amtsvenn u. Hündfelder Moor Quick edit Valid 2018-01-19 DE3807301
DE3807302 Witte Venn, Krosewicker Grenzwald Quick edit Valid 2018-01-19 DE3807302
DE3807303 Graeser Venn - Gut Moorhof Quick edit Valid 2018-01-19 DE3807303
DE3807401 Vogelschutzgebiet 'Moore und Heiden des westlichen Münsterlandes' Quick edit Valid 2018-01-19 DE3807401
DE3808301 Eper-Graeser Venn/ Lasterfeld Quick edit Valid 2018-01-19 DE3808301
DE3809301 Alter Bierkeller bei Ochtrup Quick edit Valid 2018-01-19 DE3809301
DE3809302 Vechte Quick edit Valid 2018-01-19 DE3809302
DE3810301 Emsdettener Venn und Wiesen am Max-Clemens-Kanal Quick edit Valid 2018-01-19 DE3810301
DE3810302 Bagno mit Steinfurter Aa Quick edit Valid 2018-01-19 DE3810302
DE3810401 VSG Feuchtwiesen im nördlichen Münsterland Quick edit Valid 2018-01-19 DE3810401
DE3811301 Eltingmühlenbach Quick edit Valid 2018-01-19 DE3811301
DE3811302 Wentruper Berge Quick edit Valid 2018-01-19 DE3811302
DE3811303 Hanfteich Quick edit Valid 2018-01-19 DE3811303
DE3813302 Nördliche Teile des Teutoburger Waldes mit Intruper Berg Quick edit Valid 2018-01-19 DE3813302
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?