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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 201 to 220.First7891011121314Last
Id Label Status Status Modified Notation
AT3111000 Nationalpark Kalkalpen und Umgebung Quick edit Valid 2018-01-19 AT3111000
AT3112000 Oberes Donautal Quick edit Valid 2018-01-19 AT3112000
AT3113000 Untere Traun Quick edit Valid 2018-01-19 AT3113000
AT3114000 Traun-Donau-Auen Quick edit Valid 2018-01-19 AT3114000
AT3115000 Maltsch Quick edit Valid 2018-01-19 AT3115000
AT3116000 Kalksteinmauer und Orchideenwiese Laussa Quick edit Valid 2018-01-19 AT3116000
AT3117000 Mond- und Attersee Quick edit Valid 2018-01-19 AT3117000
AT3118000 Salzachauen Quick edit Valid 2018-01-19 AT3118000
AT3119000 Auwälder am Unteren Inn Quick edit Valid 2018-01-19 AT3119000
AT3120000 Waldaist und Naarn Quick edit Valid 2018-01-19 AT3120000
AT3121000 Böhmerwald und Mühltäler Quick edit Valid 2018-01-19 AT3121000
AT3122000 Oberes Donau- und Aschachtal Quick edit Valid 2018-01-19 AT3122000
AT3123000 Wiesengebiete und Seen im Alpenvorland Quick edit Valid 2018-01-19 AT3123000
AT3124000 Wiesengebiete im Freiwald Quick edit Valid 2018-01-19 AT3124000
AT3125000 Rannatal Quick edit Valid 2018-01-19 AT3125000
AT3126000 Welser Heide Quick edit Valid 2018-01-19 AT3126000
AT3127000 Eferdinger Becken Quick edit Valid 2018-01-19 AT3127000
AT3128000 Bäche in den Steyr- und Ennstaler Voralpen Quick edit Valid 2018-01-19 AT3128000
AT3129000 Wiesengebiete im Mühlviertel Quick edit Valid 2018-01-19 AT3129000
AT3130000 Hornspitzmoore Quick edit Valid 2018-01-19 AT3130000
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?