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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 32,101 to 32,120.First1,6021,6031,6041,6051,6061,6071,6081,609Last
Id Label Status Status Modified Notation
78118 Buchelay Quick edit Valid 2013-05-30 78118
78120 Bullion Quick edit Valid 2013-05-30 78120
78123 Carrières-sous-Poissy Quick edit Valid 2013-05-30 78123
78124 Carrières-sur-Seine Quick edit Valid 2013-05-30 78124
78125 La Celle-les-Bordes Quick edit Valid 2013-05-30 78125
78126 La Celle-Saint-Cloud Quick edit Valid 2013-05-30 78126
78128 Cernay-la-Ville Quick edit Valid 2013-05-30 78128
78133 Chambourcy Quick edit Valid 2013-05-30 78133
78138 Chanteloup-les-Vignes Quick edit Valid 2013-05-30 78138
78140 Chapet Quick edit Valid 2013-05-30 78140
78143 Châteaufort Quick edit Valid 2013-05-30 78143
78146 Chatou Quick edit Valid 2013-05-30 78146
78147 Chaufour-lès-Bonnières Quick edit Valid 2013-05-30 78147
78152 Chavenay Quick edit Valid 2013-05-30 78152
78158 Le Chesnay Quick edit Valid 2013-05-30 78158
78160 Chevreuse Quick edit Valid 2013-05-30 78160
78162 Choisel Quick edit Valid 2013-05-30 78162
78163 Civry-la-Forêt Quick edit Valid 2013-05-30 78163
78164 Clairefontaine-en-Yvelines Quick edit Valid 2013-05-30 78164
78165 Les Clayes-sous-Bois Quick edit Valid 2013-05-30 78165
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?