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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 241 to 260.First910111213141516Last
Id Label Status Status Modified Notation
020517 Trindade Quick edit Valid 2013-05-30 020517
020518 Trigaches Quick edit Valid 2013-05-30 020518
020601 Casével Quick edit Valid 2013-05-30 020601
020602 Castro Verde Quick edit Valid 2013-05-30 020602
020603 Entradas Quick edit Valid 2013-05-30 020603
020604 Santa Bárbara de Padrões Quick edit Valid 2013-05-30 020604
020605 São Marcos da Ataboeira Quick edit Valid 2013-05-30 020605
020701 Cuba Quick edit Valid 2013-05-30 020701
020702 Faro do Alentejo Quick edit Valid 2013-05-30 020702
020703 Vila Alva Quick edit Valid 2013-05-30 020703
020704 Vila Ruiva Quick edit Valid 2013-05-30 020704
020801 Alfundão Quick edit Valid 2013-05-30 020801
020802 Ferreira do Alentejo Quick edit Valid 2013-05-30 020802
020803 Figueira dos Cavaleiros Quick edit Valid 2013-05-30 020803
020804 Odivelas Quick edit Valid 2013-05-30 020804
020805 Peroguarda Quick edit Valid 2013-05-30 020805
020806 Canhestros Quick edit Valid 2013-05-30 020806
020901 Alcaria Ruiva Quick edit Valid 2013-05-30 020901
020902 Corte do Pinto Quick edit Valid 2013-05-30 020902
020903 Espírito Santo Quick edit Valid 2013-05-30 020903
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?