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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 1 to 20.FirstPrev12345678Last
Id Label Status Status Modified Notation
AT1101112 Nickelsdorfer Haidel Quick edit Valid 2018-01-19 AT1101112
AT1102112 Zurndorfer Eichenwald und Hutweide Quick edit Valid 2018-01-19 AT1102112
AT1103112 Parndorfer Heide Quick edit Valid 2018-01-19 AT1103112
AT1104212 Fronwiesen und Johannesbach Quick edit Valid 2018-01-19 AT1104212
AT1106218 Siegendorfer Pußta und Heide Quick edit Valid 2018-01-19 AT1106218
AT1108813 Bernstein - Lockenhaus - Rechnitz Quick edit Valid 2018-01-19 AT1108813
AT1110137 Neusiedler See - Nordöstliches Leithagebirge Quick edit Valid 2018-01-19 AT1110137
AT1114813 Südburgenländisches Hügel- und Terrassenland Quick edit Valid 2018-01-19 AT1114813
AT1115415 Naturwaldreservat Lange Leitn, Neckenmarkt Quick edit Valid 2018-01-19 AT1115415
AT1119622 Auwiesen Zickenbachtal Quick edit Valid 2018-01-19 AT1119622
AT1122916 Lafnitztal Quick edit Valid 2018-01-19 AT1122916
AT1123323 Mattersburger Hügelland Quick edit Valid 2018-01-19 AT1123323
AT1125129 Parndorfer Platte - Heideboden Quick edit Valid 2018-01-19 AT1125129
AT1126129 Waasen - Hanság Quick edit Valid 2018-01-19 AT1126129
AT1127119 Burgenländische Leithaauen Quick edit Valid 2019-06-12 AT1127119
AT1201000 Waldviertel Quick edit Valid 2018-01-19 AT1201000
AT1201A00 Waldviertler Teich-, Heide- und Moorlandschaft Quick edit Valid 2018-01-19 AT1201A00
AT1202000 March-Thaya-Auen Quick edit Valid 2018-01-19 AT1202000
AT1202V00 March-Thaya-Auen Quick edit Valid 2018-01-19 AT1202V00
AT1203000 Ötscher - Dürrenstein Quick edit Valid 2018-01-19 AT1203000
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?