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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch 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

4,043 concepts found, displaying 101 to 120.First23456789Last
Id Label Status Status Modified Notation
AT121 Mostviertel-Eisenwurzen Quick edit Valid 2013-09-25 AT121
AT122 Niederösterreich-Süd Quick edit Valid 2013-09-25 AT122
AT123 Sankt Pölten Quick edit Valid 2013-09-25 AT123
AT124 Waldviertel Quick edit Valid 2013-09-25 AT124
AT125 Weinviertel Quick edit Valid 2013-09-25 AT125
AT126 Wiener Umland/Nordteil Quick edit Valid 2013-09-25 AT126
AT127 Wiener Umland/Südteil Quick edit Valid 2013-09-25 AT127
AT13 Wien Quick edit Valid 2013-09-25 AT13
AT130 Wien Quick edit Valid 2013-09-25 AT130
AT13_31_33 Wien, Oberösterreich, Tirol Quick edit Valid 2013-09-25 AT13_31_33
AT13_OTHBL Wien and other Bundesländer Quick edit Valid 2013-09-25 AT13_OTHBL
AT2 Südösterreich Quick edit Valid 2013-09-25 AT2
AT21 Kärnten Quick edit Valid 2013-09-25 AT21
AT211 Klagenfurt-Villach Quick edit Valid 2013-09-25 AT211
AT212 Oberkärnten Quick edit Valid 2013-09-25 AT212
AT213 Unterkärnten Quick edit Valid 2013-09-25 AT213
AT22 Steiermark Quick edit Valid 2013-09-25 AT22
AT221 Graz Quick edit Valid 2013-09-25 AT221
AT222 Liezen Quick edit Valid 2013-09-25 AT222
AT223 Östliche Obersteiermark Quick edit Valid 2013-09-25 AT223
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?