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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 2,641 to 2,660.First129130131132133134135136Last
Id Label Status Status Modified Notation
557536 Žihobce Quick edit Valid 2013-05-30 557536
557544 Žichovice Quick edit Valid 2013-05-30 557544
557587 Blovice Quick edit Valid 2013-05-30 557587
557641 Čižice Quick edit Valid 2013-05-30 557641
557650 Čížkov Quick edit Valid 2013-05-30 557650
557668 Dnešice Quick edit Valid 2013-05-30 557668
557676 Dobřany Quick edit Valid 2013-05-30 557676
557684 Dolní Lukavice Quick edit Valid 2013-05-30 557684
557722 Horšice Quick edit Valid 2013-05-30 557722
557731 Hradec Quick edit Valid 2013-05-30 557731
557749 Hradiště Quick edit Valid 2013-05-30 557749
557773 Chlum Quick edit Valid 2013-05-30 557773
557781 Chlumčany Quick edit Valid 2013-05-30 557781
557803 Chocenice Quick edit Valid 2013-05-30 557803
557838 Chotěšov Quick edit Valid 2013-05-30 557838
557846 Chválenice Quick edit Valid 2013-05-30 557846
557862 Kasejovice Quick edit Valid 2013-05-30 557862
557871 Kbel Quick edit Valid 2013-05-30 557871
557897 Klášter Quick edit Valid 2013-05-30 557897
557943 Kramolín Quick edit Valid 2013-05-30 557943
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?