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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 2,381 to 2,400.First116117118119120121122123Last
Id Label Status Status Modified Notation
DE1725401 NSG Ahrensee und nordöstlicher Westensee Quick edit Valid 2018-01-19 DE1725401
DE1726301 Wald nordwestlich Boksee Quick edit Valid 2018-01-19 DE1726301
DE1727305 Klosterforst Preetz Quick edit Valid 2018-01-19 DE1727305
DE1727322 Untere Schwentine Quick edit Valid 2018-01-19 DE1727322
DE1727351 Kolksee bei Schellhorn Quick edit Valid 2018-01-19 DE1727351
DE1727354 Moorweiher bei Rastorf Quick edit Valid 2018-01-19 DE1727354
DE1727392 Lanker See und Kührener Teich Quick edit Valid 2018-01-19 DE1727392
DE1727401 Lanker See Quick edit Valid 2018-01-19 DE1727401
DE1728303 Lehmkuhlener Stauung Quick edit Valid 2018-01-19 DE1728303
DE1728304 NSG Rixdorfer Teiche und Umgebung Quick edit Valid 2018-01-19 DE1728304
DE1728305 NSG Vogelfreistätte Lebrader Teich Quick edit Valid 2018-01-19 DE1728305
DE1728307 Gottesgabe Quick edit Valid 2018-01-19 DE1728307
DE1728351 Kalkflachmoor bei Mucheln Quick edit Valid 2018-01-19 DE1728351
DE1728401 Teiche zwischen Selent und Plön Quick edit Valid 2018-01-19 DE1728401
DE1729353 Großer und Kleiner Benzer See Quick edit Valid 2018-01-19 DE1729353
DE1729391 Dannauer See und Hohensasel und Umgebung Quick edit Valid 2018-01-19 DE1729391
DE1729392 Kossautal und angrenzende Flächen Quick edit Valid 2018-01-19 DE1729392
DE1729401 NSG Kossautal Quick edit Valid 2018-01-19 DE1729401
DE1730301 Steinbek Quick edit Valid 2018-01-19 DE1730301
DE1730326 Tal der Kükelühner Mühlenau Quick edit Valid 2018-01-19 DE1730326
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?