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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 1,201 to 1,220.First5758596061626364Last
Id Label Status Status Modified Notation
050418 Janeiro de Cima Quick edit Valid 2013-05-30 050418
050419 Lavacolhos Quick edit Valid 2013-05-30 050419
050420 Orca Quick edit Valid 2013-05-30 050420
050421 Pêro Viseu Quick edit Valid 2013-05-30 050421
050422 Póvoa de Atalaia Quick edit Valid 2013-05-30 050422
050423 Salgueiro Quick edit Valid 2013-05-30 050423
050424 Silvares Quick edit Valid 2013-05-30 050424
050425 Soalheira Quick edit Valid 2013-05-30 050425
050426 Souto da Casa Quick edit Valid 2013-05-30 050426
050427 Telhado Quick edit Valid 2013-05-30 050427
050428 Vale de Prazeres Quick edit Valid 2013-05-30 050428
050429 Valverde Quick edit Valid 2013-05-30 050429
050430 Mata da Rainha Quick edit Valid 2013-05-30 050430
050431 Enxames Quick edit Valid 2013-05-30 050431
050501 Alcafozes Quick edit Valid 2013-05-30 050501
050502 Aldeia de Santa Margarida Quick edit Valid 2013-05-30 050502
050503 Idanha-a-Nova Quick edit Valid 2013-05-30 050503
050504 Idanha-a-Velha Quick edit Valid 2013-05-30 050504
050505 Ladoeiro Quick edit Valid 2013-05-30 050505
050506 Medelim Quick edit Valid 2013-05-30 050506
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?