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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 3,881 to 3,900.First191192193194195196197198Last
Id Label Status Status Modified Notation
181408 Vimieiro Quick edit Valid 2013-05-30 181408
181409 Nagozela Quick edit Valid 2013-05-30 181409
181501 Castanheiro do Sul Quick edit Valid 2013-05-30 181501
181502 Ervedosa do Douro Quick edit Valid 2013-05-30 181502
181503 Espinhosa Quick edit Valid 2013-05-30 181503
181504 Nagozelo do Douro Quick edit Valid 2013-05-30 181504
181505 Paredes da Beira Quick edit Valid 2013-05-30 181505
181506 Pereiros Quick edit Valid 2013-05-30 181506
181507 Riodades Quick edit Valid 2013-05-30 181507
181508 São João da Pesqueira Quick edit Valid 2013-05-30 181508
181509 Soutelo do Douro Quick edit Valid 2013-05-30 181509
181510 Trevões Quick edit Valid 2013-05-30 181510
181511 Vale de Figueira Quick edit Valid 2013-05-30 181511
181512 Valongo dos Azeites Quick edit Valid 2013-05-30 181512
181513 Várzea de Trevões Quick edit Valid 2013-05-30 181513
181514 Vilarouco Quick edit Valid 2013-05-30 181514
181601 Baiões Quick edit Valid 2013-05-30 181601
181602 Bordonhos Quick edit Valid 2013-05-30 181602
181603 Candal Quick edit Valid 2013-05-30 181603
181604 Carvalhais Quick edit Valid 2013-05-30 181604
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?