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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 1,561 to 1,580.First7576777879808182Last
Id Label Status Status Modified Notation
070904 Oriola Quick edit Valid 2013-05-30 070904
070905 Portel Quick edit Valid 2013-05-30 070905
070906 Santana Quick edit Valid 2013-05-30 070906
070907 São Bartolomeu do Outeiro Quick edit Valid 2013-05-30 070907
070908 Vera Cruz Quick edit Valid 2013-05-30 070908
071001 Montoito Quick edit Valid 2013-05-30 071001
071002 Redondo Quick edit Valid 2013-05-30 071002
071101 Campo Quick edit Valid 2013-05-30 071101
071102 Corval Quick edit Valid 2013-05-30 071102
071103 Monsaraz Quick edit Valid 2013-05-30 071103
071104 Reguengos de Monsaraz Quick edit Valid 2013-05-30 071104
071105 Campinho Quick edit Valid 2013-05-30 071105
071201 Vendas Novas Quick edit Valid 2013-05-30 071201
071202 Landeira Quick edit Valid 2013-05-30 071202
071301 Alcáçovas Quick edit Valid 2013-05-30 071301
071302 Viana do Alentejo Quick edit Valid 2013-05-30 071302
071303 Aguiar Quick edit Valid 2013-05-30 071303
071401 Bencatel Quick edit Valid 2013-05-30 071401
071402 Ciladas Quick edit Valid 2013-05-30 071402
071403 Vila Viçosa (Conceição) Quick edit Valid 2013-05-30 071403
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?