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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

2,928 concepts found, displaying 2,161 to 2,180.First105106107108109110111112Last
Id Label Status Status Modified Notation
525758 Hrušov Quick edit Valid 2013-05-30 525758
525766 Hucín Quick edit Valid 2013-05-30 525766
525774 Chyžné Quick edit Valid 2013-05-30 525774
525782 Jablonov nad Turňou Quick edit Valid 2013-05-30 525782
525791 Jelšava Quick edit Valid 2013-05-30 525791
525812 Kameňany Quick edit Valid 2013-05-30 525812
525821 Kečovo Quick edit Valid 2013-05-30 525821
525839 Kobeliarovo Quick edit Valid 2013-05-30 525839
525847 Koceľovce Quick edit Valid 2013-05-30 525847
525855 Kováčová Quick edit Valid 2013-05-30 525855
525863 Krásnohorská Dlhá Lúka Quick edit Valid 2013-05-30 525863
525871 Krásnohorské Podhradie Quick edit Valid 2013-05-30 525871
525898 Kunova Teplica Quick edit Valid 2013-05-30 525898
525901 Licince Quick edit Valid 2013-05-30 525901
525910 Lipovník Quick edit Valid 2013-05-30 525910
525928 Lubeník Quick edit Valid 2013-05-30 525928
525936 Lúčka Quick edit Valid 2013-05-30 525936
525944 Magnezitovce Quick edit Valid 2013-05-30 525944
525952 Markuška Quick edit Valid 2013-05-30 525952
525961 Meliata Quick edit Valid 2013-05-30 525961
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?