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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 3,541 to 3,560.First174175176177178179180181Last
Id Label Status Status Modified Notation
170630 Sezelhe Quick edit Valid 2013-05-30 170630
170631 Solveira Quick edit Valid 2013-05-30 170631
170632 Tourém Quick edit Valid 2013-05-30 170632
170633 Venda Nova Quick edit Valid 2013-05-30 170633
170634 Viade de Baixo Quick edit Valid 2013-05-30 170634
170635 Vila da Ponte Quick edit Valid 2013-05-30 170635
170701 Candedo Quick edit Valid 2013-05-30 170701
170702 Carva Quick edit Valid 2013-05-30 170702
170703 Fiolhoso Quick edit Valid 2013-05-30 170703
170704 Jou Quick edit Valid 2013-05-30 170704
170705 Murça Quick edit Valid 2013-05-30 170705
170706 Noura Quick edit Valid 2013-05-30 170706
170707 Palheiros Quick edit Valid 2013-05-30 170707
170708 Valongo de Milhais Quick edit Valid 2013-05-30 170708
170709 Vilares Quick edit Valid 2013-05-30 170709
170801 Covelinhas Quick edit Valid 2013-05-30 170801
170802 Fontelas Quick edit Valid 2013-05-30 170802
170803 Galafura Quick edit Valid 2013-05-30 170803
170804 Godim Quick edit Valid 2013-05-30 170804
170805 Loureiro Quick edit Valid 2013-05-30 170805
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?