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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 6,061 to 6,080.First300301302303304305306307Last
Id Label Status Status Modified Notation
597678 Moravský Beroun Quick edit Valid 2013-05-30 597678
597686 Norberčany Quick edit Valid 2013-05-30 597686
597716 Osoblaha Quick edit Valid 2013-05-30 597716
597724 Razová Quick edit Valid 2013-05-30 597724
597741 Roudno Quick edit Valid 2013-05-30 597741
597775 Rusín Quick edit Valid 2013-05-30 597775
597783 Rýmařov Quick edit Valid 2013-05-30 597783
597791 Ryžoviště Quick edit Valid 2013-05-30 597791
597813 Slezské Rudoltice Quick edit Valid 2013-05-30 597813
597821 Sosnová Quick edit Valid 2013-05-30 597821
597872 Světlá Hora Quick edit Valid 2013-05-30 597872
597881 Svobodné Heřmanice Quick edit Valid 2013-05-30 597881
597899 Široká Niva Quick edit Valid 2013-05-30 597899
597911 Třemešná Quick edit Valid 2013-05-30 597911
597937 Úvalno Quick edit Valid 2013-05-30 597937
597945 Václavov u Bruntálu Quick edit Valid 2013-05-30 597945
597961 Vrbno pod Pradědem Quick edit Valid 2013-05-30 597961
597970 Vysoká Quick edit Valid 2013-05-30 597970
597988 Zátor Quick edit Valid 2013-05-30 597988
597996 Zlaté Hory Quick edit Valid 2013-05-30 597996
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?