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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 3,781 to 3,800.First186187188189190191192193Last
Id Label Status Status Modified Notation
180614 Quintela de Azurara Quick edit Valid 2013-05-30 180614
180615 Santiago de Cassurrães Quick edit Valid 2013-05-30 180615
180616 São João da Fresta Quick edit Valid 2013-05-30 180616
180617 Travanca de Tavares Quick edit Valid 2013-05-30 180617
180618 Várzea de Tavares Quick edit Valid 2013-05-30 180618
180701 Aldeia de Nacomba Quick edit Valid 2013-05-30 180701
180702 Alvite Quick edit Valid 2013-05-30 180702
180703 Arcozelos Quick edit Valid 2013-05-30 180703
180704 Ariz Quick edit Valid 2013-05-30 180704
180705 Baldos Quick edit Valid 2013-05-30 180705
180706 Cabaços Quick edit Valid 2013-05-30 180706
180707 Caria Quick edit Valid 2013-05-30 180707
180708 Castelo Quick edit Valid 2013-05-30 180708
180709 Leomil Quick edit Valid 2013-05-30 180709
180710 Moimenta da Beira Quick edit Valid 2013-05-30 180710
180711 Nagosa Quick edit Valid 2013-05-30 180711
180712 Paradinha Quick edit Valid 2013-05-30 180712
180713 Passô Quick edit Valid 2013-05-30 180713
180714 Pêra Velha Quick edit Valid 2013-05-30 180714
180715 Peva Quick edit Valid 2013-05-30 180715
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?