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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 3,521 to 3,540.First173174175176177178179180Last
Id Label Status Status Modified Notation
170610 Fervidelas Quick edit Valid 2013-05-30 170610
170611 Fiães do Rio Quick edit Valid 2013-05-30 170611
170612 Gralhas Quick edit Valid 2013-05-30 170612
170613 Meixedo Quick edit Valid 2013-05-30 170613
170614 Meixide Quick edit Valid 2013-05-30 170614
170615 Montalegre Quick edit Valid 2013-05-30 170615
170616 Morgade Quick edit Valid 2013-05-30 170616
170617 Mourilhe Quick edit Valid 2013-05-30 170617
170618 Negrões Quick edit Valid 2013-05-30 170618
170619 Outeiro Quick edit Valid 2013-05-30 170619
170620 Padornelos Quick edit Valid 2013-05-30 170620
170621 Padroso Quick edit Valid 2013-05-30 170621
170622 Paradela Quick edit Valid 2013-05-30 170622
170623 Pitões das Junias Quick edit Valid 2013-05-30 170623
170624 Pondras Quick edit Valid 2013-05-30 170624
170625 Reigoso Quick edit Valid 2013-05-30 170625
170626 Salto Quick edit Valid 2013-05-30 170626
170627 Santo André Quick edit Valid 2013-05-30 170627
170628 Vilar de Perdizes (São Miguel) Quick edit Valid 2013-05-30 170628
170629 Sarraquinhos Quick edit Valid 2013-05-30 170629
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?