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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 2,561 to 2,580.First125126127128129130131132Last
Id Label Status Status Modified Notation
130407 Melres Quick edit Valid 2013-05-30 130407
130408 Rio Tinto Quick edit Valid 2013-05-30 130408
130409 Gondomar (São Cosme) Quick edit Valid 2013-05-30 130409
130410 São Pedro da Cova Quick edit Valid 2013-05-30 130410
130411 Valbom Quick edit Valid 2013-05-30 130411
130412 Baguim do Monte (Rio Tinto) Quick edit Valid 2013-05-30 130412
130501 Alvarenga Quick edit Valid 2013-05-30 130501
130502 Aveleda Quick edit Valid 2013-05-30 130502
130503 Boim Quick edit Valid 2013-05-30 130503
130504 Caíde de Rei Quick edit Valid 2013-05-30 130504
130505 Casais Quick edit Valid 2013-05-30 130505
130506 Cernadelo Quick edit Valid 2013-05-30 130506
130507 Covas Quick edit Valid 2013-05-30 130507
130508 Cristelos Quick edit Valid 2013-05-30 130508
130509 Figueiras Quick edit Valid 2013-05-30 130509
130510 Lodares Quick edit Valid 2013-05-30 130510
130511 Lustosa Quick edit Valid 2013-05-30 130511
130512 Macieira Quick edit Valid 2013-05-30 130512
130513 Meinedo Quick edit Valid 2013-05-30 130513
130514 Nespereira Quick edit Valid 2013-05-30 130514
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?