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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 1,721 to 1,740.First8384858687888990Last
Id Label Status Status Modified Notation
090313 Rapa Quick edit Valid 2013-05-30 090313
090314 Ratoeira Quick edit Valid 2013-05-30 090314
090315 Salgueirais Quick edit Valid 2013-05-30 090315
090316 Celorico (Santa Maria) Quick edit Valid 2013-05-30 090316
090317 Celorico (São Pedro) Quick edit Valid 2013-05-30 090317
090318 Vale de Azares Quick edit Valid 2013-05-30 090318
090319 Velosa Quick edit Valid 2013-05-30 090319
090320 Vide entre Vinhas Quick edit Valid 2013-05-30 090320
090321 Vila Boa do Mondego Quick edit Valid 2013-05-30 090321
090322 Casas do Soeiro Quick edit Valid 2013-05-30 090322
090401 Algodres Quick edit Valid 2013-05-30 090401
090402 Almofala Quick edit Valid 2013-05-30 090402
090403 Castelo Rodrigo Quick edit Valid 2013-05-30 090403
090404 Cinco Vilas Quick edit Valid 2013-05-30 090404
090405 Colmeal Quick edit Valid 2013-05-30 090405
090406 Escalhão Quick edit Valid 2013-05-30 090406
090407 Escarigo Quick edit Valid 2013-05-30 090407
090408 Figueira de Castelo Rodrigo Quick edit Valid 2013-05-30 090408
090409 Freixeda do Torrão Quick edit Valid 2013-05-30 090409
090410 Mata de Lobos Quick edit Valid 2013-05-30 090410
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?