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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 4,221 to 4,240.First206207208209210211212213Last
Id Label Status Status Modified Notation
460103 Piedade Quick edit Valid 2013-05-30 460103
460104 Ribeiras Quick edit Valid 2013-05-30 460104
460105 Ribeirinha Quick edit Valid 2013-05-30 460105
460106 São João Quick edit Valid 2013-05-30 460106
460201 Bandeiras Quick edit Valid 2013-05-30 460201
460202 Candelária Quick edit Valid 2013-05-30 460202
460203 Criação Velha Quick edit Valid 2013-05-30 460203
460204 Madalena Quick edit Valid 2013-05-30 460204
460205 São Caetano Quick edit Valid 2013-05-30 460205
460206 São Mateus Quick edit Valid 2013-05-30 460206
460301 Prainha Quick edit Valid 2013-05-30 460301
460302 Santa Luzia Quick edit Valid 2013-05-30 460302
460303 Santo Amaro Quick edit Valid 2013-05-30 460303
460304 Santo António Quick edit Valid 2013-05-30 460304
460305 São Roque do Pico Quick edit Valid 2013-05-30 460305
470101 Capelo Quick edit Valid 2013-05-30 470101
470102 Castelo Branco Quick edit Valid 2013-05-30 470102
470103 Cedros Quick edit Valid 2013-05-30 470103
470104 Feteira Quick edit Valid 2013-05-30 470104
470105 Flamengos Quick edit Valid 2013-05-30 470105
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?