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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

4,260 concepts found, displaying 1,821 to 1,840.First8889909192939495Last
Id Label Status Status Modified Notation
090736 Rocamondo Quick edit Valid 2013-05-30 090736
090737 Rochoso Quick edit Valid 2013-05-30 090737
090738 Santana da Azinha Quick edit Valid 2013-05-30 090738
090739 Jarmelo (São Miguel) Quick edit Valid 2013-05-30 090739
090740 Jarmelo (São Pedro) Quick edit Valid 2013-05-30 090740
090741 Guarda (São Vicente) Quick edit Valid 2013-05-30 090741
090742 Guarda (Sé) Quick edit Valid 2013-05-30 090742
090743 Seixo Amarelo Quick edit Valid 2013-05-30 090743
090744 Sobral da Serra Quick edit Valid 2013-05-30 090744
090745 Trinta Quick edit Valid 2013-05-30 090745
090746 Vale de Estrela Quick edit Valid 2013-05-30 090746
090747 Valhelhas Quick edit Valid 2013-05-30 090747
090748 Vela Quick edit Valid 2013-05-30 090748
090749 Videmonte Quick edit Valid 2013-05-30 090749
090750 Vila Cortês do Mondego Quick edit Valid 2013-05-30 090750
090751 Vila Fernando Quick edit Valid 2013-05-30 090751
090752 Vila Franca do Deão Quick edit Valid 2013-05-30 090752
090753 Vila Garcia Quick edit Valid 2013-05-30 090753
090754 Vila Soeiro Quick edit Valid 2013-05-30 090754
090755 São Miguel da Guarda Quick edit Valid 2013-05-30 090755
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?