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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 2,621 to 2,640.First128129130131132133134135Last
Id Label Status Status Modified Notation
DE2231304 Wald- und Moorlandschaft um den Röggeliner See Quick edit Valid 2018-01-19 DE2231304
DE2232301 Kleingewässerlandschaft südöstlich von Rehna Quick edit Valid 2018-01-19 DE2232301
DE2233401 Stepenitz - Poischower Mühlenbach - Radegast - Maurine Quick edit Valid 2018-01-19 DE2233401
DE2234302 Wald- und Kleingewässerlandschaft Dambecker Seen und Buchholz Quick edit Valid 2018-01-19 DE2234302
DE2234304 Schweriner Außensee und angrenzende Wälder und Moore Quick edit Valid 2018-01-19 DE2234304
DE2235402 Schweriner Seen Quick edit Valid 2018-01-19 DE2235402
DE2236301 Binnensalzwiese bei Sülten Quick edit Valid 2018-01-19 DE2236301
DE2236302 Obere Seen und Wendfeld (bei Sternberg) Quick edit Valid 2018-01-19 DE2236302
DE2236303 Wariner Seenlandschaft Quick edit Valid 2018-01-19 DE2236303
DE2238302 Wald- und Gewässerlandschaft um Groß Upahl und Boitin Quick edit Valid 2018-01-19 DE2238302
DE2239301 Nebeltal mit Zuflüssen, verbundenen Seen und angrenzenden Wäldern Quick edit Valid 2018-01-19 DE2239301
DE2239302 Inselsee Güstrow Quick edit Valid 2018-01-19 DE2239302
DE2239303 Bunker in Güstrow-Priemerburg Quick edit Valid 2018-01-19 DE2239303
DE2239401 Nebel und Warinsee Quick edit Valid 2018-01-19 DE2239401
DE2240301 Feldgehölz und Park von Rothspalk Quick edit Valid 2018-01-19 DE2240301
DE2241302 Wald- und Kleingewässerlandschaft südlich von Teterow Quick edit Valid 2018-01-19 DE2241302
DE2241303 Schluchtwälder bei Teschow Quick edit Valid 2018-01-19 DE2241303
DE2242302 Stauchmoräne nördlich von Remplin Quick edit Valid 2018-01-19 DE2242302
DE2242304 Beekbusch bei Hohen Mistorf Quick edit Valid 2018-01-19 DE2242304
DE2242401 Mecklenburgische Schweiz und Kummerower See Quick edit Valid 2018-01-19 DE2242401
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?