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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 to 20.FirstPrev12345678Last
Id Label Status Status Modified Notation
010101 Agadão Quick edit Valid 2013-05-30 010101
010102 Aguada de Baixo Quick edit Valid 2013-05-30 010102
010103 Aguada de Cima Quick edit Valid 2013-05-30 010103
010104 Águeda Quick edit Valid 2013-05-30 010104
010105 Barrô Quick edit Valid 2013-05-30 010105
010106 Belazaima do Chão Quick edit Valid 2013-05-30 010106
010107 Castanheira do Vouga Quick edit Valid 2013-05-30 010107
010108 Espinhel Quick edit Valid 2013-05-30 010108
010109 Fermentelos Quick edit Valid 2013-05-30 010109
010110 Lamas do Vouga Quick edit Valid 2013-05-30 010110
010111 Macieira de Alcoba Quick edit Valid 2013-05-30 010111
010112 Macinhata do Vouga Quick edit Valid 2013-05-30 010112
010113 Óis da Ribeira Quick edit Valid 2013-05-30 010113
010114 Préstimo Quick edit Valid 2013-05-30 010114
010115 Recardães Quick edit Valid 2013-05-30 010115
010116 Segadães Quick edit Valid 2013-05-30 010116
010117 Travassô Quick edit Valid 2013-05-30 010117
010118 Trofa Quick edit Valid 2013-05-30 010118
010119 Valongo do Vouga Quick edit Valid 2013-05-30 010119
010120 Borralha Quick edit Valid 2013-05-30 010120
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?