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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

6,250 concepts found, displaying 3,861 to 3,880.First190191192193194195196197Last
Id Label Status Status Modified Notation
571644 Štíhlice Quick edit Valid 2013-05-30 571644
571652 Krásné Quick edit Valid 2013-05-30 571652
571661 Krouna Quick edit Valid 2013-05-30 571661
571679 Oplany Quick edit Valid 2013-05-30 571679
571687 Klášterní Skalice Quick edit Valid 2013-05-30 571687
571695 Leština Quick edit Valid 2013-05-30 571695
571709 Leštinka Quick edit Valid 2013-05-30 571709
571717 Kšely Quick edit Valid 2013-05-30 571717
571725 Libkov Quick edit Valid 2013-05-30 571725
571733 Liboměřice Quick edit Valid 2013-05-30 571733
571741 Třebonín Quick edit Valid 2013-05-30 571741
571750 Lozice Quick edit Valid 2013-05-30 571750
571768 Lukavice Quick edit Valid 2013-05-30 571768
571776 Luže Quick edit Valid 2013-05-30 571776
571784 Libiš Quick edit Valid 2013-05-30 571784
571792 Kozomín Quick edit Valid 2013-05-30 571792
571806 Nová Ves u Bakova Quick edit Valid 2013-05-30 571806
571814 Zdětín Quick edit Valid 2013-05-30 571814
571822 Míčov-Sušice Quick edit Valid 2013-05-30 571822
571831 Miřetice Quick edit Valid 2013-05-30 571831
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?