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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 3,221 to 3,240.First158159160161162163164165Last
Id Label Status Status Modified Notation
564567 Litoměřice Quick edit Valid 2013-05-30 564567
564575 Bechlín Quick edit Valid 2013-05-30 564575
564583 Starosedlský Hrádek Quick edit Valid 2013-05-30 564583
564591 Bohušovice nad Ohří Quick edit Valid 2013-05-30 564591
564605 Hlubyně Quick edit Valid 2013-05-30 564605
564613 Brňany Quick edit Valid 2013-05-30 564613
564621 Brozany nad Ohří Quick edit Valid 2013-05-30 564621
564630 Sedlice Quick edit Valid 2013-05-30 564630
564648 Bříza Quick edit Valid 2013-05-30 564648
564656 Budyně nad Ohří Quick edit Valid 2013-05-30 564656
564664 Bukovany Quick edit Valid 2013-05-30 564664
564672 Ctiněves Quick edit Valid 2013-05-30 564672
564681 Drahobudice Quick edit Valid 2013-05-30 564681
564699 Černiv Quick edit Valid 2013-05-30 564699
564702 Masojedy Quick edit Valid 2013-05-30 564702
564711 Čížkovice Quick edit Valid 2013-05-30 564711
564729 Děčany Quick edit Valid 2013-05-30 564729
564737 Dlažkovice Quick edit Valid 2013-05-30 564737
564745 Dobříň Quick edit Valid 2013-05-30 564745
564753 Doksany Quick edit Valid 2013-05-30 564753
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?