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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 34,341 to 34,360.First1,7141,7151,7161,7171,7181,7191,7201,721Last
Id Label Status Status Modified Notation
85118 Landeronde Quick edit Valid 2013-05-30 85118
85119 Les Landes-Genusson Quick edit Valid 2013-05-30 85119
85120 Landevieille Quick edit Valid 2013-05-30 85120
85121 Le Langon Quick edit Valid 2013-05-30 85121
85123 Liez Quick edit Valid 2013-05-30 85123
85125 Loge-Fougereuse Quick edit Valid 2013-05-30 85125
85126 Longèves Quick edit Valid 2013-05-30 85126
85127 Longeville-sur-Mer Quick edit Valid 2013-05-30 85127
85128 Luçon Quick edit Valid 2013-05-30 85128
85129 Les Lucs-sur-Boulogne Quick edit Valid 2013-05-30 85129
85130 Maché Quick edit Valid 2013-05-30 85130
85131 Les Magnils-Reigniers Quick edit Valid 2013-05-30 85131
85132 Maillé Quick edit Valid 2013-05-30 85132
85133 Maillezais Quick edit Valid 2013-05-30 85133
85134 Mallièvre Quick edit Valid 2013-05-30 85134
85135 Mareuil-sur-Lay-Dissais Quick edit Valid 2013-05-30 85135
85136 Marillet Quick edit Valid 2013-05-30 85136
85137 Marsais-Sainte-Radégonde Quick edit Valid 2013-05-30 85137
85138 Martinet Quick edit Valid 2013-05-30 85138
85139 Le Mazeau Quick edit Valid 2013-05-30 85139
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?