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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 2,921 to 2,940.First143144145146147148149150Last
Id Label Status Status Modified Notation
141201 Azinhaga Quick edit Valid 2013-05-30 141201
141202 Golegã Quick edit Valid 2013-05-30 141202
141301 Aboboreira Quick edit Valid 2013-05-30 141301
141302 Amêndoa Quick edit Valid 2013-05-30 141302
141303 Cardigos Quick edit Valid 2013-05-30 141303
141304 Carvoeiro Quick edit Valid 2013-05-30 141304
141305 Envendos Quick edit Valid 2013-05-30 141305
141306 Mação Quick edit Valid 2013-05-30 141306
141307 Ortiga Quick edit Valid 2013-05-30 141307
141308 Penhascoso Quick edit Valid 2013-05-30 141308
141401 Alcobertas Quick edit Valid 2013-05-30 141401
141402 Arrouquelas Quick edit Valid 2013-05-30 141402
141403 Arruda dos Pisões Quick edit Valid 2013-05-30 141403
141404 Azambujeira Quick edit Valid 2013-05-30 141404
141405 Fráguas Quick edit Valid 2013-05-30 141405
141406 Marmeleira Quick edit Valid 2013-05-30 141406
141407 Outeiro da Cortiçada Quick edit Valid 2013-05-30 141407
141408 Rio Maior Quick edit Valid 2013-05-30 141408
141409 São João da Ribeira Quick edit Valid 2013-05-30 141409
141410 Asseiceira Quick edit Valid 2013-05-30 141410
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?