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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 1,261 to 1,280.First6061626364656667Last
Id Label Status Status Modified Notation
050806 Sobreira Formosa Quick edit Valid 2013-05-30 050806
050901 Cabeçudo Quick edit Valid 2013-05-30 050901
050902 Carvalhal Quick edit Valid 2013-05-30 050902
050903 Castelo Quick edit Valid 2013-05-30 050903
050904 Cernache do Bonjardim Quick edit Valid 2013-05-30 050904
050905 Cumeada Quick edit Valid 2013-05-30 050905
050906 Ermida Quick edit Valid 2013-05-30 050906
050907 Figueiredo Quick edit Valid 2013-05-30 050907
050908 Marmeleiro Quick edit Valid 2013-05-30 050908
050909 Nesperal Quick edit Valid 2013-05-30 050909
050910 Palhais Quick edit Valid 2013-05-30 050910
050911 Pedrógão Pequeno Quick edit Valid 2013-05-30 050911
050912 Sertã Quick edit Valid 2013-05-30 050912
050913 Troviscal Quick edit Valid 2013-05-30 050913
050914 Várzea dos Cavaleiros Quick edit Valid 2013-05-30 050914
051001 Fundada Quick edit Valid 2013-05-30 051001
051002 São João do Peso Quick edit Valid 2013-05-30 051002
051003 Vila de Rei Quick edit Valid 2013-05-30 051003
051101 Fratel Quick edit Valid 2013-05-30 051101
051102 Perais Quick edit Valid 2013-05-30 051102
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?