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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 3,821 to 3,840.First188189190191192193194195Last
Id Label Status Status Modified Notation
180906 Vilar Seco Quick edit Valid 2013-05-30 180906
180907 Aguieira Quick edit Valid 2013-05-30 180907
180908 Lapa do Lobo Quick edit Valid 2013-05-30 180908
180909 Moreira Quick edit Valid 2013-05-30 180909
181001 Arca Quick edit Valid 2013-05-30 181001
181002 Arcozelo das Maias Quick edit Valid 2013-05-30 181002
181003 Destriz Quick edit Valid 2013-05-30 181003
181004 Oliveira de Frades Quick edit Valid 2013-05-30 181004
181005 Pinheiro Quick edit Valid 2013-05-30 181005
181006 Reigoso Quick edit Valid 2013-05-30 181006
181007 Ribeiradio Quick edit Valid 2013-05-30 181007
181008 São João da Serra Quick edit Valid 2013-05-30 181008
181009 São Vicente de Lafões Quick edit Valid 2013-05-30 181009
181010 Sejães Quick edit Valid 2013-05-30 181010
181011 Souto de Lafões Quick edit Valid 2013-05-30 181011
181012 Varzielas Quick edit Valid 2013-05-30 181012
181101 Antas Quick edit Valid 2013-05-30 181101
181102 Castelo de Penalva Quick edit Valid 2013-05-30 181102
181103 Esmolfe Quick edit Valid 2013-05-30 181103
181104 Germil Quick edit Valid 2013-05-30 181104
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?