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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 2,241 to 2,260.First109110111112113114115116Last
Id Label Status Status Modified Notation
110646 São Mamede Quick edit Valid 2013-05-30 110646
110647 São Miguel Quick edit Valid 2013-05-30 110647
110648 São Nicolau Quick edit Valid 2013-05-30 110648
110649 São Paulo Quick edit Valid 2013-05-30 110649
110650 São Sebastião da Pedreira Quick edit Valid 2013-05-30 110650
110651 São Vicente de Fora Quick edit Valid 2013-05-30 110651
110652 Sé Quick edit Valid 2013-05-30 110652
110653 Socorro Quick edit Valid 2013-05-30 110653
110701 Apelação Quick edit Valid 2013-05-30 110701
110702 Bucelas Quick edit Valid 2013-05-30 110702
110703 Camarate Quick edit Valid 2013-05-30 110703
110705 Fanhões Quick edit Valid 2013-05-30 110705
110706 Frielas Quick edit Valid 2013-05-30 110706
110707 Loures Quick edit Valid 2013-05-30 110707
110708 Lousa Quick edit Valid 2013-05-30 110708
110709 Moscavide Quick edit Valid 2013-05-30 110709
110712 Sacavém Quick edit Valid 2013-05-30 110712
110713 Santa Iria de Azoia Quick edit Valid 2013-05-30 110713
110714 Santo Antão do Tojal Quick edit Valid 2013-05-30 110714
110715 São João da Talha Quick edit Valid 2013-05-30 110715
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?