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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 321 to 340.First1314151617181920Last
Id Label Status Status Modified Notation
AT3407000 Fohramoos Quick edit Valid 2018-01-19 AT3407000
AT3408000 Bangs - Matschels Quick edit Valid 2018-01-19 AT3408000
AT3409000 Ludescherberg Quick edit Valid 2018-01-19 AT3409000
AT3410000 Gadental Quick edit Valid 2018-01-19 AT3410000
AT3411000 Klostertaler Bergwälder Quick edit Valid 2018-01-19 AT3411000
AT3412000 Verwall Quick edit Valid 2018-01-19 AT3412000
AT3413000 Wiegensee Quick edit Valid 2018-01-19 AT3413000
AT3414000 Leiblach Quick edit Valid 2018-01-19 AT3414000
AT3415000 Alpenmannstreu Gamperdonatal Quick edit Valid 2018-01-19 AT3415000
AT3416000 Spirkenwälder Saminatal Quick edit Valid 2018-01-19 AT3416000
AT3417000 Spirkenwälder Brandnertal Quick edit Valid 2018-01-19 AT3417000
AT3418000 Spirkenwald Oberer Tritt Quick edit Valid 2018-01-19 AT3418000
AT3419000 Spirkenwälder Innergamp Quick edit Valid 2018-01-19 AT3419000
AT3420000 Unter-Überlut Quick edit Valid 2018-01-19 AT3420000
AT3421000 Gsieg - Obere Mähder Quick edit Valid 2018-01-19 AT3421000
AT3422000 Schuttfluren Tafamunt Quick edit Valid 2018-01-19 AT3422000
AT3423000 Soren, Gleggen-Köblern, Schweizer Ried und Birken-Schwarzes Zeug Quick edit Valid 2018-01-19 AT3423000
AT3424000 Üble Schlucht Quick edit Valid 2018-01-19 AT3424000
AT3425000 Davenna Quick edit Valid 2018-01-19 AT3425000
AT3426000 Frastanzer Ried Quick edit Valid 2018-01-19 AT3426000
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?