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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 2,601 to 2,620.First127128129130131132133134Last
Id Label Status Status Modified Notation
130610 Nogueira Quick edit Valid 2013-05-30 130610
130611 Avioso (Santa Maria) Quick edit Valid 2013-05-30 130611
130612 Avioso (São Pedro) Quick edit Valid 2013-05-30 130612
130613 São Pedro Fins Quick edit Valid 2013-05-30 130613
130614 Silva Escura Quick edit Valid 2013-05-30 130614
130615 Vermoim Quick edit Valid 2013-05-30 130615
130616 Vila Nova da Telha Quick edit Valid 2013-05-30 130616
130617 Pedrouços Quick edit Valid 2013-05-30 130617
130701 Alpendurada e Matos Quick edit Valid 2013-05-30 130701
130702 Ariz Quick edit Valid 2013-05-30 130702
130703 Avessadas Quick edit Valid 2013-05-30 130703
130704 Banho e Carvalhosa Quick edit Valid 2013-05-30 130704
130705 Constance Quick edit Valid 2013-05-30 130705
130706 Favões Quick edit Valid 2013-05-30 130706
130707 Folhada Quick edit Valid 2013-05-30 130707
130708 Fornos Quick edit Valid 2013-05-30 130708
130709 Freixo Quick edit Valid 2013-05-30 130709
130710 Magrelos Quick edit Valid 2013-05-30 130710
130711 Manhuncelos Quick edit Valid 2013-05-30 130711
130712 Maureles Quick edit Valid 2013-05-30 130712
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?