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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 501 to 520.First2223242526272829Last
Id Label Status Status Modified Notation
030501 Agilde Quick edit Valid 2013-05-30 030501
030502 Arnóia Quick edit Valid 2013-05-30 030502
030503 Borba de Montanha Quick edit Valid 2013-05-30 030503
030504 Britelo Quick edit Valid 2013-05-30 030504
030505 Caçarilhe Quick edit Valid 2013-05-30 030505
030506 Canedo de Basto Quick edit Valid 2013-05-30 030506
030507 Carvalho Quick edit Valid 2013-05-30 030507
030508 Codeçoso Quick edit Valid 2013-05-30 030508
030509 Corgo Quick edit Valid 2013-05-30 030509
030510 Fervença Quick edit Valid 2013-05-30 030510
030511 Gagos Quick edit Valid 2013-05-30 030511
030512 Gémeos Quick edit Valid 2013-05-30 030512
030513 Infesta Quick edit Valid 2013-05-30 030513
030514 Molares Quick edit Valid 2013-05-30 030514
030515 Moreira do Castelo Quick edit Valid 2013-05-30 030515
030516 Ourilhe Quick edit Valid 2013-05-30 030516
030517 Rego Quick edit Valid 2013-05-30 030517
030518 Ribas Quick edit Valid 2013-05-30 030518
030519 Basto (Santa Tecla) Quick edit Valid 2013-05-30 030519
030520 Basto (São Clemente) Quick edit Valid 2013-05-30 030520
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?