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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 1,001 to 1,020.First4748495051525354Last
Id Label Status Status Modified Notation
040729 Suçães Quick edit Valid 2013-05-30 040729
040730 Torre de Dona Chama Quick edit Valid 2013-05-30 040730
040731 Vale de Asnes Quick edit Valid 2013-05-30 040731
040732 Vale de Gouvinhas Quick edit Valid 2013-05-30 040732
040733 Vale de Salgueiro Quick edit Valid 2013-05-30 040733
040734 Vale de Telhas Quick edit Valid 2013-05-30 040734
040735 Valverde Quick edit Valid 2013-05-30 040735
040736 Vila Boa Quick edit Valid 2013-05-30 040736
040737 Vila Verde Quick edit Valid 2013-05-30 040737
040801 Azinhoso Quick edit Valid 2013-05-30 040801
040802 Bemposta Quick edit Valid 2013-05-30 040802
040803 Bruçó Quick edit Valid 2013-05-30 040803
040804 Brunhoso Quick edit Valid 2013-05-30 040804
040805 Brunhozinho Quick edit Valid 2013-05-30 040805
040806 Castanheira Quick edit Valid 2013-05-30 040806
040807 Castelo Branco Quick edit Valid 2013-05-30 040807
040808 Castro Vicente Quick edit Valid 2013-05-30 040808
040809 Meirinhos Quick edit Valid 2013-05-30 040809
040810 Mogadouro Quick edit Valid 2013-05-30 040810
040811 Paradela Quick edit Valid 2013-05-30 040811
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?