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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 6,001 to 6,020.First297298299300301302303304Last
Id Label Status Status Modified Notation
596850 Sviny Quick edit Valid 2013-05-30 596850
596868 Svratka Quick edit Valid 2013-05-30 596868
596876 Škrdlovice Quick edit Valid 2013-05-30 596876
596884 Štěpánov nad Svratkou Quick edit Valid 2013-05-30 596884
596892 Tišnovská Nová Ves Quick edit Valid 2013-05-30 596892
596906 Uhřínov Quick edit Valid 2013-05-30 596906
596914 Ujčov Quick edit Valid 2013-05-30 596914
596922 Újezd Quick edit Valid 2013-05-30 596922
596931 Unčín Quick edit Valid 2013-05-30 596931
596949 Vatín Quick edit Valid 2013-05-30 596949
596957 Věcov Quick edit Valid 2013-05-30 596957
596965 Věchnov Quick edit Valid 2013-05-30 596965
596973 Velká Bíteš Quick edit Valid 2013-05-30 596973
596981 Velká Losenice Quick edit Valid 2013-05-30 596981
596990 Velké Janovice Quick edit Valid 2013-05-30 596990
597007 Velké Meziříčí Quick edit Valid 2013-05-30 597007
597015 Vepřová Quick edit Valid 2013-05-30 597015
597031 Věstín Quick edit Valid 2013-05-30 597031
597040 Věžná Quick edit Valid 2013-05-30 597040
597058 Vídeň Quick edit Valid 2013-05-30 597058
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?