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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 3,141 to 3,160.First154155156157158159160161Last
Id Label Status Status Modified Notation
160121 Miranda Quick edit Valid 2013-05-30 160121
160122 Monte Redondo Quick edit Valid 2013-05-30 160122
160123 Oliveira Quick edit Valid 2013-05-30 160123
160124 Paçô Quick edit Valid 2013-05-30 160124
160125 Padroso Quick edit Valid 2013-05-30 160125
160126 Parada Quick edit Valid 2013-05-30 160126
160127 Portela Quick edit Valid 2013-05-30 160127
160128 Prozelo Quick edit Valid 2013-05-30 160128
160129 Rio Cabrão Quick edit Valid 2013-05-30 160129
160130 Rio Frio Quick edit Valid 2013-05-30 160130
160131 Rio de Moinhos Quick edit Valid 2013-05-30 160131
160132 Sá Quick edit Valid 2013-05-30 160132
160133 Sabadim Quick edit Valid 2013-05-30 160133
160134 Arcos de Valdevez (Salvador) Quick edit Valid 2013-05-30 160134
160135 Padreiro (Salvador) Quick edit Valid 2013-05-30 160135
160136 Padreiro (Santa Cristina) Quick edit Valid 2013-05-30 160136
160137 Távora (Santa Maria) Quick edit Valid 2013-05-30 160137
160138 Santar Quick edit Valid 2013-05-30 160138
160139 São Cosme e São Damião Quick edit Valid 2013-05-30 160139
160140 São Jorge Quick edit Valid 2013-05-30 160140
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?