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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 2,041 to 2,060.First99100101102103104105106Last
Id Label Status Status Modified Notation
100502 Carvalhal Quick edit Valid 2013-05-30 100502
100503 Roliça Quick edit Valid 2013-05-30 100503
100504 Vale Covo Quick edit Valid 2013-05-30 100504
100505 Pó Quick edit Valid 2013-05-30 100505
100601 A dos Francos Quick edit Valid 2013-05-30 100601
100602 Alvorninha Quick edit Valid 2013-05-30 100602
100603 Caldas da Rainha (Nossa Senhora do Pópulo) Quick edit Valid 2013-05-30 100603
100604 Carvalhal Benfeito Quick edit Valid 2013-05-30 100604
100605 Coto Quick edit Valid 2013-05-30 100605
100606 Foz do Arelho Quick edit Valid 2013-05-30 100606
100607 Landal Quick edit Valid 2013-05-30 100607
100608 Nadadouro Quick edit Valid 2013-05-30 100608
100609 Salir de Matos Quick edit Valid 2013-05-30 100609
100610 Salir do Porto Quick edit Valid 2013-05-30 100610
100611 Santa Catarina Quick edit Valid 2013-05-30 100611
100612 São Gregório Quick edit Valid 2013-05-30 100612
100613 Serra do Bouro Quick edit Valid 2013-05-30 100613
100614 Tornada Quick edit Valid 2013-05-30 100614
100615 Vidais Quick edit Valid 2013-05-30 100615
100616 Caldas da Rainha (Santo Onofre) Quick edit Valid 2013-05-30 100616
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?