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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 4,081 to 4,100.First201202203204205206207208Last
Id Label Status Status Modified Notation
573868 Náchod Quick edit Valid 2013-05-30 573868
573876 Zderaz Quick edit Valid 2013-05-30 573876
573884 Bezděkov nad Metují Quick edit Valid 2013-05-30 573884
573892 Bohuslavice Quick edit Valid 2013-05-30 573892
573906 Borová Quick edit Valid 2013-05-30 573906
573914 Božanov Quick edit Valid 2013-05-30 573914
573922 Broumov Quick edit Valid 2013-05-30 573922
573931 Brzice Quick edit Valid 2013-05-30 573931
573949 Biskupice Quick edit Valid 2013-05-30 573949
573957 Černčice Quick edit Valid 2013-05-30 573957
573965 Červený Kostelec Quick edit Valid 2013-05-30 573965
573973 Česká Čermná Quick edit Valid 2013-05-30 573973
573981 Česká Metuje Quick edit Valid 2013-05-30 573981
573990 Česká Skalice Quick edit Valid 2013-05-30 573990
574007 Kněžice Quick edit Valid 2013-05-30 574007
574015 Dolany Quick edit Valid 2013-05-30 574015
574023 Dolní Radechová Quick edit Valid 2013-05-30 574023
574031 Hejtmánkovice Quick edit Valid 2013-05-30 574031
574040 Heřmanice Quick edit Valid 2013-05-30 574040
574058 Heřmánkovice Quick edit Valid 2013-05-30 574058
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?