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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 3,481 to 3,500.First171172173174175176177178Last
Id Label Status Status Modified Notation
170337 Soutelinho da Raia Quick edit Valid 2013-05-30 170337
170338 Soutelo Quick edit Valid 2013-05-30 170338
170339 Travancas Quick edit Valid 2013-05-30 170339
170340 Tronco Quick edit Valid 2013-05-30 170340
170341 Vale de Anta Quick edit Valid 2013-05-30 170341
170342 Vidago Quick edit Valid 2013-05-30 170342
170343 Vila Verde da Raia Quick edit Valid 2013-05-30 170343
170344 Vilar de Nantes Quick edit Valid 2013-05-30 170344
170345 Vilarelho da Raia Quick edit Valid 2013-05-30 170345
170346 Vilarinho das Paranheiras Quick edit Valid 2013-05-30 170346
170347 Vilas Boas Quick edit Valid 2013-05-30 170347
170348 Vilela Seca Quick edit Valid 2013-05-30 170348
170349 Vilela do Tâmega Quick edit Valid 2013-05-30 170349
170350 Santa Maria Maior Quick edit Valid 2013-05-30 170350
170351 Madalena Quick edit Valid 2013-05-30 170351
170352 Santa Cruz/Trindade Quick edit Valid 2013-05-30 170352
170401 Barqueiros Quick edit Valid 2013-05-30 170401
170402 Cidadelhe Quick edit Valid 2013-05-30 170402
170403 Oliveira Quick edit Valid 2013-05-30 170403
170404 Mesão Frio (Santa Cristina) Quick edit Valid 2013-05-30 170404
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?