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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 2,861 to 2,880.First140141142143144145146147Last
Id Label Status Status Modified Notation
580791 Radoľa Quick edit Valid 2013-05-30 580791
580813 Bziny Quick edit Valid 2013-05-30 580813
580856 Horný Lieskov Quick edit Valid 2013-05-30 580856
580864 Podskalie Quick edit Valid 2013-05-30 580864
580899 Lužianky Quick edit Valid 2013-05-30 580899
580911 Holiare Quick edit Valid 2013-05-30 580911
580937 Bohunice Quick edit Valid 2013-05-30 580937
580953 Malé Uherce Quick edit Valid 2013-05-30 580953
581020 Hrnčiarovce nad Parnou Quick edit Valid 2013-05-30 581020
581097 Ľudovítová Quick edit Valid 2013-05-30 581097
581135 Malé Kozmálovce Quick edit Valid 2013-05-30 581135
581160 Veľké Kozmálovce Quick edit Valid 2013-05-30 581160
581241 Malý Slavkov Quick edit Valid 2013-05-30 581241
581305 Nemčice Quick edit Valid 2013-05-30 581305
581348 Petrova Lehota Quick edit Valid 2013-05-30 581348
581399 Banka Quick edit Valid 2013-05-30 581399
581488 Zvončín Quick edit Valid 2013-05-30 581488
581585 Veľká Lúka Quick edit Valid 2013-05-30 581585
581607 Brehy Quick edit Valid 2013-05-30 581607
581623 Babindol Quick edit Valid 2013-05-30 581623
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?