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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 3,701 to 3,720.First182183184185186187188189Last
Id Label Status Status Modified Notation
DE3708302 Gildehauser Venn Quick edit Valid 2018-01-19 DE3708302
DE3708303 Rüenberger Venn Quick edit Valid 2018-01-19 DE3708303
DE3708331 Kleingewässer Achterberg Quick edit Valid 2018-01-19 DE3708331
DE3709301 Harskamp Quick edit Valid 2018-01-19 DE3709301
DE3709302 Salzbrunnen am Rothenberg Quick edit Valid 2018-01-19 DE3709302
DE3709303 Schnippenpohl Quick edit Valid 2018-01-19 DE3709303
DE3709304 Feuchtwiese Ochtrup Quick edit Valid 2018-01-19 DE3709304
DE3709305 Stollen im Rothenberg bei Wettringen Quick edit Valid 2018-01-19 DE3709305
DE3710301 Zachhorn Quick edit Valid 2018-01-19 DE3710301
DE3711301 Emsaue <MS, ST> Quick edit Valid 2018-01-19 DE3711301
DE3712301 Stollen bei Ibbenbüren-Osterledde Quick edit Valid 2018-01-19 DE3712301
DE3712302 Sandsteinzug Teutoburger Wald Quick edit Valid 2018-01-19 DE3712302
DE3712303 Kirche in Ledde (Kreis Steinfurt) Quick edit Valid 2018-01-19 DE3712303
DE3713301 Silberberg Quick edit Valid 2018-01-19 DE3713301
DE3713302 Habichtswald Quick edit Valid 2018-01-19 DE3713302
DE3713304 Stollen westlich Leeden Quick edit Valid 2018-01-19 DE3713304
DE3713305 Permer Stollen Quick edit Valid 2018-01-19 DE3713305
DE3713331 Hüggel, Heidhornberg und Roter Berg Quick edit Valid 2018-01-19 DE3713331
DE3714331 Teiche an den Sieben Quellen Quick edit Valid 2018-01-19 DE3714331
DE3715331 Else und obere Hase Quick edit Valid 2018-01-19 DE3715331
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?