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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 5,121 to 5,140.First253254255256257258259260Last
Id Label Status Status Modified Notation
586676 Terezín Quick edit Valid 2013-05-30 586676
586684 Tvarožná Lhota Quick edit Valid 2013-05-30 586684
586692 Uhřice Quick edit Valid 2013-05-30 586692
586706 Vacenovice Quick edit Valid 2013-05-30 586706
586714 Velká nad Veličkou Quick edit Valid 2013-05-30 586714
586722 Veselí nad Moravou Quick edit Valid 2013-05-30 586722
586731 Věteřov Quick edit Valid 2013-05-30 586731
586749 Vlkoš Quick edit Valid 2013-05-30 586749
586757 Vnorovy Quick edit Valid 2013-05-30 586757
586765 Vracov Quick edit Valid 2013-05-30 586765
586773 Vřesovice Quick edit Valid 2013-05-30 586773
586781 Žádovice Quick edit Valid 2013-05-30 586781
586790 Žarošice Quick edit Valid 2013-05-30 586790
586803 Ždánice Quick edit Valid 2013-05-30 586803
586811 Želetice Quick edit Valid 2013-05-30 586811
586820 Žeravice Quick edit Valid 2013-05-30 586820
586838 Žeraviny Quick edit Valid 2013-05-30 586838
586846 Jihlava Quick edit Valid 2013-05-30 586846
586854 Arnolec Quick edit Valid 2013-05-30 586854
586862 Batelov Quick edit Valid 2013-05-30 586862
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?