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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

36,682 concepts found, displaying 32,421 to 32,440.First1,6181,6191,6201,6211,6221,6231,6241,625Last
Id Label Status Status Modified Notation
79115 Exoudun Quick edit Valid 2013-05-30 79115
79116 Faye-l'Abbesse Quick edit Valid 2013-05-30 79116
79117 Faye-sur-Ardin Quick edit Valid 2013-05-30 79117
79118 Fénery Quick edit Valid 2013-05-30 79118
79119 Fenioux Quick edit Valid 2013-05-30 79119
79120 La Ferrière-en-Parthenay Quick edit Valid 2013-05-30 79120
79121 Fomperron Quick edit Valid 2013-05-30 79121
79122 Fontenille-Saint-Martin-d'Entraigues Quick edit Valid 2013-05-30 79122
79123 La Forêt-sur-Sèvre Quick edit Valid 2013-05-30 79123
79124 Les Forges Quick edit Valid 2013-05-30 79124
79125 Fors Quick edit Valid 2013-05-30 79125
79126 Les Fosses Quick edit Valid 2013-05-30 79126
79127 La Foye-Monjault Quick edit Valid 2013-05-30 79127
79128 François Quick edit Valid 2013-05-30 79128
79129 Fressines Quick edit Valid 2013-05-30 79129
79130 Frontenay-Rohan-Rohan Quick edit Valid 2013-05-30 79130
79131 Geay Quick edit Valid 2013-05-30 79131
79132 Genneton Quick edit Valid 2013-05-30 79132
79133 Germond-Rouvre Quick edit Valid 2013-05-30 79133
79134 Glénay Quick edit Valid 2013-05-30 79134
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?