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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 4,301 to 4,320.First212213214215216217218219Last
Id Label Status Status Modified Notation
576689 Přepychy Quick edit Valid 2013-05-30 576689
576701 Rokytnice v Orlických horách Quick edit Valid 2013-05-30 576701
576727 Rybná nad Zdobnicí Quick edit Valid 2013-05-30 576727
576735 Říčky v Orlických horách Quick edit Valid 2013-05-30 576735
576743 Sedloňov Quick edit Valid 2013-05-30 576743
576751 Semechnice Quick edit Valid 2013-05-30 576751
576778 Skuhrov nad Bělou Quick edit Valid 2013-05-30 576778
576786 Slatina nad Zdobnicí Quick edit Valid 2013-05-30 576786
576794 Sněžné Quick edit Valid 2013-05-30 576794
576808 Solnice Quick edit Valid 2013-05-30 576808
576816 Synkov-Slemeno Quick edit Valid 2013-05-30 576816
576824 Trnov Quick edit Valid 2013-05-30 576824
576832 Třebešov Quick edit Valid 2013-05-30 576832
576841 Tutleky Quick edit Valid 2013-05-30 576841
576859 Týniště nad Orlicí Quick edit Valid 2013-05-30 576859
576875 Val Quick edit Valid 2013-05-30 576875
576883 Vamberk Quick edit Valid 2013-05-30 576883
576891 Voděrady Quick edit Valid 2013-05-30 576891
576921 Záměl Quick edit Valid 2013-05-30 576921
576930 Zdelov Quick edit Valid 2013-05-30 576930
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?