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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 34,381 to 34,400.First1,7161,7171,7181,7191,7201,7211,7221,723Last
Id Label Status Status Modified Notation
85160 Nesmy Quick edit Valid 2013-05-30 85160
85161 Nieul-le-Dolent Quick edit Valid 2013-05-30 85161
85162 Nieul-sur-l'Autise Quick edit Valid 2013-05-30 85162
85163 Noirmoutier-en-l'Île Quick edit Valid 2013-05-30 85163
85164 Notre-Dame-de-Monts Quick edit Valid 2013-05-30 85164
85165 L' Oie Quick edit Valid 2013-05-30 85165
85166 Olonne-sur-Mer Quick edit Valid 2013-05-30 85166
85167 L' Orbrie Quick edit Valid 2013-05-30 85167
85168 Oulmes Quick edit Valid 2013-05-30 85168
85169 Palluau Quick edit Valid 2013-05-30 85169
85171 Péault Quick edit Valid 2013-05-30 85171
85172 Le Perrier Quick edit Valid 2013-05-30 85172
85174 Petosse Quick edit Valid 2013-05-30 85174
85175 Les Pineaux Quick edit Valid 2013-05-30 85175
85176 Pissotte Quick edit Valid 2013-05-30 85176
85177 Le Poiré-sur-Velluire Quick edit Valid 2013-05-30 85177
85178 Le Poiré-sur-Vie Quick edit Valid 2013-05-30 85178
85179 Poiroux Quick edit Valid 2013-05-30 85179
85180 La Pommeraie-sur-Sèvre Quick edit Valid 2013-05-30 85180
85181 Pouillé Quick edit Valid 2013-05-30 85181
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?