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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 3,901 to 3,920.First192193194195196197198199Last
Id Label Status Status Modified Notation
181605 Covas do Rio Quick edit Valid 2013-05-30 181605
181606 Figueiredo de Alva Quick edit Valid 2013-05-30 181606
181607 Manhouce Quick edit Valid 2013-05-30 181607
181608 Pindelo dos Milagres Quick edit Valid 2013-05-30 181608
181609 Pinho Quick edit Valid 2013-05-30 181609
181610 Santa Cruz da Trapa Quick edit Valid 2013-05-30 181610
181611 São Cristóvão de Lafões Quick edit Valid 2013-05-30 181611
181612 São Félix Quick edit Valid 2013-05-30 181612
181613 São Martinho das Moitas Quick edit Valid 2013-05-30 181613
181614 São Pedro do Sul Quick edit Valid 2013-05-30 181614
181615 Serrazes Quick edit Valid 2013-05-30 181615
181616 Sul Quick edit Valid 2013-05-30 181616
181617 Valadares Quick edit Valid 2013-05-30 181617
181618 Várzea Quick edit Valid 2013-05-30 181618
181619 Vila Maior Quick edit Valid 2013-05-30 181619
181701 Águas Boas Quick edit Valid 2013-05-30 181701
181702 Avelal Quick edit Valid 2013-05-30 181702
181703 Decermilo Quick edit Valid 2013-05-30 181703
181704 Ferreira de Aves Quick edit Valid 2013-05-30 181704
181705 Forles Quick edit Valid 2013-05-30 181705
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?