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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 461 to 480.First2021222324252627Last
Id Label Status Status Modified Notation
505480 Slatinka nad Bebravou Quick edit Valid 2013-05-30 505480
505498 Solčany Quick edit Valid 2013-05-30 505498
505510 Súlovce Quick edit Valid 2013-05-30 505510
505536 Šalgovce Quick edit Valid 2013-05-30 505536
505544 Šípkov Quick edit Valid 2013-05-30 505544
505552 Šišov Quick edit Valid 2013-05-30 505552
505561 Tesáre Quick edit Valid 2013-05-30 505561
505579 Timoradza Quick edit Valid 2013-05-30 505579
505595 Trebichava Quick edit Valid 2013-05-30 505595
505617 Tvrdomestice Quick edit Valid 2013-05-30 505617
505625 Uhrovec Quick edit Valid 2013-05-30 505625
505633 Uhrovské Podhradie Quick edit Valid 2013-05-30 505633
505641 Urmince Quick edit Valid 2013-05-30 505641
505676 Veľké Dvorany Quick edit Valid 2013-05-30 505676
505684 Veľké Hoste Quick edit Valid 2013-05-30 505684
505692 Veľké Chlievany Quick edit Valid 2013-05-30 505692
505706 Veľké Kršteňany Quick edit Valid 2013-05-30 505706
505714 Veľké Ripňany Quick edit Valid 2013-05-30 505714
505722 Veľké Uherce Quick edit Valid 2013-05-30 505722
505731 Veľký Klíž Quick edit Valid 2013-05-30 505731
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?