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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 2,641 to 2,660.First129130131132133134135136Last
Id Label Status Status Modified Notation
130802 Guifões Quick edit Valid 2013-05-30 130802
130803 Lavra Quick edit Valid 2013-05-30 130803
130804 Leça do Balio Quick edit Valid 2013-05-30 130804
130805 Leça da Palmeira Quick edit Valid 2013-05-30 130805
130806 Matosinhos Quick edit Valid 2013-05-30 130806
130807 Perafita Quick edit Valid 2013-05-30 130807
130808 Santa Cruz do Bispo Quick edit Valid 2013-05-30 130808
130809 São Mamede de Infesta Quick edit Valid 2013-05-30 130809
130810 Senhora da Hora Quick edit Valid 2013-05-30 130810
130901 Arreigada Quick edit Valid 2013-05-30 130901
130902 Carvalhosa Quick edit Valid 2013-05-30 130902
130903 Codessos Quick edit Valid 2013-05-30 130903
130904 Eiriz Quick edit Valid 2013-05-30 130904
130905 Ferreira Quick edit Valid 2013-05-30 130905
130906 Figueiró Quick edit Valid 2013-05-30 130906
130907 Frazão Quick edit Valid 2013-05-30 130907
130908 Freamunde Quick edit Valid 2013-05-30 130908
130909 Lamoso Quick edit Valid 2013-05-30 130909
130910 Meixomil Quick edit Valid 2013-05-30 130910
130911 Modelos Quick edit Valid 2013-05-30 130911
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?