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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 2,621 to 2,640.First128129130131132133134135Last
Id Label Status Status Modified Notation
543802 Streda nad Bodrogom Quick edit Valid 2013-05-30 543802
543811 Svinice Quick edit Valid 2013-05-30 543811
543829 Trnávka Quick edit Valid 2013-05-30 543829
543845 Veľaty Quick edit Valid 2013-05-30 543845
543853 Veľké Kapušany Quick edit Valid 2013-05-30 543853
543861 Veľké Ozorovce Quick edit Valid 2013-05-30 543861
543870 Veľké Raškovce Quick edit Valid 2013-05-30 543870
543888 Veľké Slemence Quick edit Valid 2013-05-30 543888
543896 Veľké Trakany Quick edit Valid 2013-05-30 543896
543900 Veľký Horeš Quick edit Valid 2013-05-30 543900
543918 Veľký Kamenec Quick edit Valid 2013-05-30 543918
543926 Viničky Quick edit Valid 2013-05-30 543926
543934 Višňov Quick edit Valid 2013-05-30 543934
543942 Vojany Quick edit Valid 2013-05-30 543942
543951 Vojčice Quick edit Valid 2013-05-30 543951
543969 Vojka Quick edit Valid 2013-05-30 543969
543977 Zatín Quick edit Valid 2013-05-30 543977
543985 Zbehňov Quick edit Valid 2013-05-30 543985
543993 Zemplín Quick edit Valid 2013-05-30 543993
544001 Zemplínska Nová Ves Quick edit Valid 2013-05-30 544001
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?