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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 5,381 to 5,400.First266267268269270271272273Last
Id Label Status Status Modified Notation
589608 Klenovice na Hané Quick edit Valid 2013-05-30 589608
589616 Klopotovice Quick edit Valid 2013-05-30 589616
589624 Konice Quick edit Valid 2013-05-30 589624
589632 Kostelec na Hané Quick edit Valid 2013-05-30 589632
589641 Koválovice-Osíčany Quick edit Valid 2013-05-30 589641
589659 Kralice na Hané Quick edit Valid 2013-05-30 589659
589667 Krumsín Quick edit Valid 2013-05-30 589667
589675 Laškov Quick edit Valid 2013-05-30 589675
589683 Lešany Quick edit Valid 2013-05-30 589683
589691 Lipová Quick edit Valid 2013-05-30 589691
589705 Ludmírov Quick edit Valid 2013-05-30 589705
589713 Malé Hradisko Quick edit Valid 2013-05-30 589713
589721 Mořice Quick edit Valid 2013-05-30 589721
589730 Mostkovice Quick edit Valid 2013-05-30 589730
589748 Myslejovice Quick edit Valid 2013-05-30 589748
589756 Němčice nad Hanou Quick edit Valid 2013-05-30 589756
589764 Nezamyslice Quick edit Valid 2013-05-30 589764
589772 Niva Quick edit Valid 2013-05-30 589772
589799 Obědkovice Quick edit Valid 2013-05-30 589799
589802 Ohrozim Quick edit Valid 2013-05-30 589802
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?