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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 1,861 to 1,880.First9091929394959697Last
Id Label Status Status Modified Notation
2831 Bábonymegyer Quick edit Valid 2013-05-30 2831
2832 Hottó Quick edit Valid 2013-05-30 2832
2833 Kapuvár Quick edit Valid 2013-05-30 2833
2834 Vaskút Quick edit Valid 2013-05-30 2834
2835 Tiszaújváros Quick edit Valid 2013-05-30 2835
2836 Potony Quick edit Valid 2013-05-30 2836
2837 Apácatorna Quick edit Valid 2013-05-30 2837
2838 Kazár Quick edit Valid 2013-05-30 2838
2839 Tiszalúc Quick edit Valid 2013-05-30 2839
284 Felsőzsolca Quick edit Valid 2013-05-30 284
2840 Gyöngyfa Quick edit Valid 2013-05-30 2840
2841 Visegrád Quick edit Valid 2013-05-30 2841
2842 Nemesvita Quick edit Valid 2013-05-30 2842
2843 Kék Quick edit Valid 2013-05-30 2843
2844 Nyírgelse Quick edit Valid 2013-05-30 2844
2845 Csernely Quick edit Valid 2013-05-30 2845
2846 Nagypáli Quick edit Valid 2013-05-30 2846
2847 Kisléta Quick edit Valid 2013-05-30 2847
2848 Tompa Quick edit Valid 2013-05-30 2848
2849 Zalaboldogfa Quick edit Valid 2013-05-30 2849
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?