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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 3,421 to 3,440.First168169170171172173174175Last
Id Label Status Status Modified Notation
DE3343301 Leitsakgraben Quick edit Valid 2018-01-19 DE3343301
DE3343302 Salzstelle Nauen Quick edit Valid 2018-01-19 DE3343302
DE3345301 Muhrgraben mit Teufelsbruch Quick edit Valid 2018-01-19 DE3345301
DE3346301 Tegeler Fließtal Quick edit Valid 2018-01-19 DE3346301
DE3346302 Eichwerder Moorwiesen Quick edit Valid 2018-01-19 DE3346302
DE3346304 Tegeler Fließtal Quick edit Valid 2018-01-19 DE3346304
DE3347301 Börnicke Quick edit Valid 2018-01-19 DE3347301
DE3347302 Schönower Heide Quick edit Valid 2018-01-19 DE3347302
DE3347303 Schlosspark Buch Quick edit Valid 2018-01-19 DE3347303
DE3348301 Weesower Luch Quick edit Valid 2018-01-19 DE3348301
DE3349301 Blumenthal Quick edit Valid 2018-01-19 DE3349301
DE3349302 Fängersee und unterer Gamengrund Quick edit Valid 2018-01-19 DE3349302
DE3349324 Gamengrundseen Quick edit Valid 2018-01-19 DE3349324
DE3350302 Batzlower Mühlenfließ - Büchnitztal Quick edit Valid 2018-01-19 DE3350302
DE3352301 Oderaue Kienitz Quick edit Valid 2018-01-19 DE3352301
DE3353301 Oderaue Genschmar Quick edit Valid 2018-01-19 DE3353301
DE3406301 Itterbecker Heide Quick edit Valid 2018-01-19 DE3406301
DE3408401 Dalum-Wietmarscher Moor und Georgsdorfer Moor Quick edit Valid 2018-01-19 DE3408401
DE3409331 Moorschlatts und Heiden in Wachendorf Quick edit Valid 2018-01-19 DE3409331
DE3410331 Lingener Mühlenbach und Nebenbach Quick edit Valid 2018-01-19 DE3410331
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?