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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 3,361 to 3,380.First165166167168169170171172Last
Id Label Status Status Modified Notation
DE3246303 Buchenwälder am Liepnitzsee Quick edit Valid 2018-01-19 DE3246303
DE3247301 Biesenthaler Becken Quick edit Valid 2018-01-19 DE3247301
DE3247302 Biesenthaler Becken, Erweiterung Quick edit Deprecated 2023-01-26 DE3247302
DE3247303 Oberseemoor Quick edit Valid 2018-01-19 DE3247303
DE3247304 Rabenluch Quick edit Valid 2018-01-19 DE3247304
DE3248302 Trampe Quick edit Valid 2018-01-19 DE3248302
DE3248304 Fledermausquartier Kellerberg Grüntal Quick edit Valid 2018-01-19 DE3248304
DE3249301 Cöthener Fließtal Quick edit Valid 2018-01-19 DE3249301
DE3249302 Oderbruchrand Bad Freienwalde Quick edit Valid 2018-01-19 DE3249302
DE3249303 Fledermausquartier 'Haus Bethesda' Quick edit Valid 2018-01-19 DE3249303
DE3250301 Trockenrasen Wriezen und Biesdorfer Kehlen Quick edit Valid 2018-01-19 DE3250301
DE3250302 Hutelandschaft Altranft-Sonnenburg Quick edit Valid 2018-01-19 DE3250302
DE3250303 Sonnenburger Wald und Ahrendskehle Quick edit Valid 2018-01-19 DE3250303
DE3250304 Trockenrasen Wriezen Quick edit Deprecated 2023-01-26 DE3250304
DE3250306 Fledermauswinterquartier Schießgang Quick edit Valid 2018-01-19 DE3250306
DE3252301 Odervorland Gieshof Quick edit Valid 2018-01-19 DE3252301
DE3309331 Esterfelder Moor bei Meppen Quick edit Valid 2018-01-19 DE3309331
DE3311301 Hahnenmoor, Hahlener Moor, Suddenmoor Quick edit Valid 2018-01-19 DE3311301
DE3312331 Bäche im Artland Quick edit Valid 2018-01-19 DE3312331
DE3312332 Börsteler Wald und Teichhausen Quick edit Valid 2018-01-19 DE3312332
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?