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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 1,801 to 1,820.First8788899091929394Last
Id Label Status Status Modified Notation
090716 Faia Quick edit Valid 2013-05-30 090716
090717 Famalicão Quick edit Valid 2013-05-30 090717
090718 Fernão Joanes Quick edit Valid 2013-05-30 090718
090719 Gagos Quick edit Valid 2013-05-30 090719
090720 Gonçalo Quick edit Valid 2013-05-30 090720
090721 Gonçalo Bocas Quick edit Valid 2013-05-30 090721
090722 João Antão Quick edit Valid 2013-05-30 090722
090723 Maçainhas Quick edit Valid 2013-05-30 090723
090724 Marmeleiro Quick edit Valid 2013-05-30 090724
090725 Meios Quick edit Valid 2013-05-30 090725
090726 Mizarela Quick edit Valid 2013-05-30 090726
090727 Monte Margarida Quick edit Valid 2013-05-30 090727
090728 Panoias de Cima Quick edit Valid 2013-05-30 090728
090729 Pega Quick edit Valid 2013-05-30 090729
090730 Pêra do Moço Quick edit Valid 2013-05-30 090730
090731 Pêro Soares Quick edit Valid 2013-05-30 090731
090732 Porto da Carne Quick edit Valid 2013-05-30 090732
090733 Pousada Quick edit Valid 2013-05-30 090733
090734 Ramela Quick edit Valid 2013-05-30 090734
090735 Ribeira dos Carinhos Quick edit Valid 2013-05-30 090735
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?