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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 1,401 to 1,420.First6768697071727374Last
Id Label Status Status Modified Notation
061003 Carapinheira Quick edit Valid 2013-05-30 061003
061004 Gatões Quick edit Valid 2013-05-30 061004
061005 Liceia Quick edit Valid 2013-05-30 061005
061006 Meãs do Campo Quick edit Valid 2013-05-30 061006
061007 Montemor-o-Velho Quick edit Valid 2013-05-30 061007
061008 Pereira Quick edit Valid 2013-05-30 061008
061009 Santo Varão Quick edit Valid 2013-05-30 061009
061010 Seixo de Gatões Quick edit Valid 2013-05-30 061010
061011 Tentúgal Quick edit Valid 2013-05-30 061011
061012 Verride Quick edit Valid 2013-05-30 061012
061013 Vila Nova da Barca Quick edit Valid 2013-05-30 061013
061014 Ereira Quick edit Valid 2013-05-30 061014
061101 Aldeia das Dez Quick edit Valid 2013-05-30 061101
061102 Alvoco das Várzeas Quick edit Valid 2013-05-30 061102
061103 Avô Quick edit Valid 2013-05-30 061103
061104 Bobadela Quick edit Valid 2013-05-30 061104
061105 Ervedal Quick edit Valid 2013-05-30 061105
061106 Lagares Quick edit Valid 2013-05-30 061106
061107 Lagos da Beira Quick edit Valid 2013-05-30 061107
061108 Lajeosa Quick edit Valid 2013-05-30 061108
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?