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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:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

3,152 concepts found, displaying 1,941 to 1,960.First949596979899100101Last
Id Label Status Status Modified Notation
2905 Tornyosnémeti Quick edit Valid 2013-05-30 2905
2906 Nagyberény Quick edit Valid 2013-05-30 2906
2907 Kisberzseny Quick edit Valid 2013-05-30 2907
2908 Lócs Quick edit Valid 2013-05-30 2908
2909 Sopronhorpács Quick edit Valid 2013-05-30 2909
291 Balmazújváros Quick edit Valid 2013-05-30 291
2910 Baks Quick edit Valid 2013-05-30 2910
2911 Solt Quick edit Valid 2013-05-30 2911
2912 Várong Quick edit Valid 2013-05-30 2912
2913 Tiszacsermely Quick edit Valid 2013-05-30 2913
2914 Somogyhárságy Quick edit Valid 2013-05-30 2914
2915 Vágáshuta Quick edit Valid 2013-05-30 2915
2916 Páka Quick edit Valid 2013-05-30 2916
2917 Nagytőke Quick edit Valid 2013-05-30 2917
2918 Nagybarca Quick edit Valid 2013-05-30 2918
2919 Péterhida Quick edit Valid 2013-05-30 2919
292 Duka Quick edit Valid 2013-05-30 292
2920 Boba Quick edit Valid 2013-05-30 2920
2921 Baj Quick edit Valid 2013-05-30 2921
2922 Jánossomorja Quick edit Valid 2013-05-30 2922
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?