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Eionet
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
skos:broader Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Sep 2015

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

1,845 concepts found, displaying 1 to 20.FirstPrev12345678Last
Id Label Status Status Modified Notation
AT ÖSTERREICH Quick edit Valid 2019-02-12 AT
AT1 OSTÖSTERREICH Quick edit Valid 2019-02-12 AT1
AT11 Burgenland Quick edit Valid 2019-02-12 AT11
AT111 Mittelburgenland Quick edit Valid 2019-02-12 AT111
AT112 Nordburgenland Quick edit Valid 2019-02-12 AT112
AT113 Südburgenland Quick edit Valid 2019-02-12 AT113
AT12 Niederösterreich Quick edit Valid 2019-02-12 AT12
AT121 Mostviertel-Eisenwurzen Quick edit Valid 2019-02-12 AT121
AT122 Niederösterreich-Süd Quick edit Valid 2019-02-12 AT122
AT123 Sankt Pölten Quick edit Valid 2019-02-12 AT123
AT124 Waldviertel Quick edit Valid 2019-02-12 AT124
AT125 Weinviertel Quick edit Valid 2019-02-12 AT125
AT126 Wiener Umland/Nordteil Quick edit Valid 2019-02-12 AT126
AT127 Wiener Umland/Südteil Quick edit Valid 2019-02-12 AT127
AT13 Wien Quick edit Valid 2019-02-12 AT13
AT130 Wien Quick edit Valid 2019-02-12 AT130
AT2 SÜDÖSTERREICH Quick edit Valid 2019-02-12 AT2
AT21 Kärnten Quick edit Valid 2019-02-12 AT21
AT211 Klagenfurt-Villach Quick edit Valid 2019-02-12 AT211
AT212 Oberkärnten Quick edit Valid 2019-02-12 AT212
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?