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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 5,041 to 5,060.First249250251252253254255256Last
Id Label Status Status Modified Notation
585858 Tlumačov Quick edit Valid 2013-05-30 585858
585866 Trnava Quick edit Valid 2013-05-30 585866
585874 Ublo Quick edit Valid 2013-05-30 585874
585882 Újezd Quick edit Valid 2013-05-30 585882
585891 Valašské Klobouky Quick edit Valid 2013-05-30 585891
585912 Velký Ořechov Quick edit Valid 2013-05-30 585912
585921 Veselá Quick edit Valid 2013-05-30 585921
585939 Vizovice Quick edit Valid 2013-05-30 585939
585955 Vlachovice Quick edit Valid 2013-05-30 585955
585963 Vlčková Quick edit Valid 2013-05-30 585963
585971 Všemina Quick edit Valid 2013-05-30 585971
585980 Vysoké Pole Quick edit Valid 2013-05-30 585980
585998 Zádveřice-Raková Quick edit Valid 2013-05-30 585998
586005 Závist Quick edit Valid 2013-05-30 586005
586013 Žlutava Quick edit Valid 2013-05-30 586013
586021 Hodonín Quick edit Valid 2013-05-30 586021
586030 Archlebov Quick edit Valid 2013-05-30 586030
586048 Blatnice pod Svatým Antonínkem Quick edit Valid 2013-05-30 586048
586056 Blatnička Quick edit Valid 2013-05-30 586056
586064 Světlá Quick edit Valid 2013-05-30 586064
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?