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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 2,861 to 2,880.First140141142143144145146147Last
Id Label Status Status Modified Notation
140116 Vale das Mós Quick edit Valid 2013-05-30 140116
140117 Concavada Quick edit Valid 2013-05-30 140117
140118 Fontes Quick edit Valid 2013-05-30 140118
140119 Carvalhal Quick edit Valid 2013-05-30 140119
140201 Alcanena Quick edit Valid 2013-05-30 140201
140202 Bugalhos Quick edit Valid 2013-05-30 140202
140203 Espinheiro Quick edit Valid 2013-05-30 140203
140204 Louriceira Quick edit Valid 2013-05-30 140204
140205 Malhou Quick edit Valid 2013-05-30 140205
140206 Minde Quick edit Valid 2013-05-30 140206
140207 Moitas Venda Quick edit Valid 2013-05-30 140207
140208 Monsanto Quick edit Valid 2013-05-30 140208
140209 Serra de Santo António Quick edit Valid 2013-05-30 140209
140210 Vila Moreira Quick edit Valid 2013-05-30 140210
140301 Almeirim Quick edit Valid 2013-05-30 140301
140302 Benfica do Ribatejo Quick edit Valid 2013-05-30 140302
140303 Fazendas de Almeirim Quick edit Valid 2013-05-30 140303
140304 Raposa Quick edit Valid 2013-05-30 140304
140401 Alpiarça Quick edit Valid 2013-05-30 140401
140501 Benavente Quick edit Valid 2013-05-30 140501
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?