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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 1,061 to 1,080.First5051525354555657Last
Id Label Status Status Modified Notation
041007 Mourão Quick edit Valid 2013-05-30 041007
041008 Nabo Quick edit Valid 2013-05-30 041008
041009 Roios Quick edit Valid 2013-05-30 041009
041010 Samões Quick edit Valid 2013-05-30 041010
041011 Sampaio Quick edit Valid 2013-05-30 041011
041012 Santa Comba de Vilariça Quick edit Valid 2013-05-30 041012
041013 Seixo de Manhoses Quick edit Valid 2013-05-30 041013
041014 Trindade Quick edit Valid 2013-05-30 041014
041015 Vale Frechoso Quick edit Valid 2013-05-30 041015
041016 Valtorno Quick edit Valid 2013-05-30 041016
041017 Vila Flor Quick edit Valid 2013-05-30 041017
041018 Vilarinho das Azenhas Quick edit Valid 2013-05-30 041018
041019 Vilas Boas Quick edit Valid 2013-05-30 041019
041101 Algoso Quick edit Valid 2013-05-30 041101
041102 Angueira Quick edit Valid 2013-05-30 041102
041103 Argozelo Quick edit Valid 2013-05-30 041103
041104 Avelanoso Quick edit Valid 2013-05-30 041104
041105 Caçarelhos Quick edit Valid 2013-05-30 041105
041106 Campo de Víboras Quick edit Valid 2013-05-30 041106
041107 Carção Quick edit Valid 2013-05-30 041107
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?