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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 221 to 240.First89101112131415Last
Id Label Status Status Modified Notation
AT3131000 Leitenbach Quick edit Valid 2018-01-19 AT3131000
AT3132000 Machland Nord Quick edit Valid 2018-01-19 AT3132000
AT3133000 Mösl im Ebenthal Quick edit Valid 2018-01-19 AT3133000
AT3134000 Planwiesen Quick edit Valid 2018-01-19 AT3134000
AT3135000 Quellflur bei Grueb Quick edit Valid 2018-01-19 AT3135000
AT3136000 Mittlere Steyr Quick edit Valid 2018-01-19 AT3136000
AT3137000 Unteres Steyr- und Ennstal Quick edit Valid 2018-01-19 AT3137000
AT3138000 Schluchtwälder der Steyr- und Ennstaler Voralpen Quick edit Valid 2018-01-19 AT3138000
AT3139000 Unteres Traun- und Almtal Quick edit Valid 2018-01-19 AT3139000
AT3140000 Gerlhamer Moor Quick edit Valid 2018-01-19 AT3140000
AT3141000 Mooswiesen am Irrsee Quick edit Valid 2018-01-19 AT3141000
AT3142000 Egelsee und Egelseemoor in Unterach Quick edit Valid 2018-01-19 AT3142000
AT3143000 Offensee und angrenzendes Verlandungsmoor Quick edit Valid 2018-01-19 AT3143000
AT3144000 Goiserer Weißenbachtal Quick edit Valid 2018-01-19 AT3144000
AT3145000 Röll Quick edit Valid 2018-01-19 AT3145000
AT3146000 Teichlboden Quick edit Valid 2018-01-19 AT3146000
AT3147000 Hangwälder Ritzlhof Quick edit Valid 2019-06-12 AT3147000
AT3148000 Burgberg Losenstein Quick edit Valid 2019-06-12 AT3148000
AT3149000 Amesschlag Quick edit Valid 2019-06-12 AT3149000
AT3150000 Wallfahrtskirche Maria Schmolln Quick edit Valid 2019-06-12 AT3150000
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?