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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 3,241 to 3,260.First159160161162163164165166Last
Id Label Status Status Modified Notation
DE3042301 Storbeck Quick edit Valid 2018-01-19 DE3042301
DE3042302 Wahlendorfer Luch, Klappgraben, Gänsepfuhl Quick edit Valid 2018-01-19 DE3042302
DE3043301 Schöner Berg Quick edit Valid 2018-01-19 DE3043301
DE3043302 Rhin zwischen Zippelsförde und Fristow Quick edit Valid 2018-01-19 DE3043302
DE3045301 Moncapricesee Quick edit Valid 2018-01-19 DE3045301
DE3045302 Liebenberger Bruch Quick edit Valid 2018-01-19 DE3045302
DE3046301 Exin Quick edit Valid 2018-01-19 DE3046301
DE3046302 Schnelle Havel Ergänzung Quick edit Valid 2018-01-19 DE3046302
DE3047301 Kienhorst/Köllnseen/Eichheide Quick edit Valid 2018-01-19 DE3047301
DE3047302 Rarangseen Quick edit Valid 2018-01-19 DE3047302
DE3047303 Döllnfließ Quick edit Valid 2018-01-19 DE3047303
DE3048301 Lindhorst Quick edit Valid 2018-01-19 DE3048301
DE3048302 Werbellinkanal Quick edit Valid 2018-01-19 DE3048302
DE3049302 Groß-Ziethen Quick edit Valid 2018-01-19 DE3049302
DE3049303 Parsteinsee Quick edit Valid 2018-01-19 DE3049303
DE3050301 Brodowin-Oderberg Quick edit Valid 2018-01-19 DE3050301
DE3050302 Tiefer See Quick edit Valid 2018-01-19 DE3050302
DE3050303 Lunower Hölzchen Quick edit Valid 2018-01-19 DE3050303
DE3050304 Koppelberg Altgalow (Westteil) Quick edit Valid 2018-01-19 DE3050304
DE3050305 Buchsee Quick edit Valid 2018-01-19 DE3050305
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?