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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 32,361 to 32,380.First1,6151,6161,6171,6181,6191,6201,6211,622Last
Id Label Status Status Modified Notation
79047 Boussais Quick edit Valid 2013-05-30 79047
79048 La Crèche Quick edit Valid 2013-05-30 79048
79049 Bressuire Quick edit Valid 2013-05-30 79049
79050 Bretignolles Quick edit Valid 2013-05-30 79050
79051 Le Breuil-Bernard Quick edit Valid 2013-05-30 79051
79053 Le Breuil-sous-Argenton Quick edit Valid 2013-05-30 79053
79054 Brie Quick edit Valid 2013-05-30 79054
79055 Brieuil-sur-Chizé Quick edit Valid 2013-05-30 79055
79056 Brion-près-Thouet Quick edit Valid 2013-05-30 79056
79057 Brioux-sur-Boutonne Quick edit Valid 2013-05-30 79057
79058 Brûlain Quick edit Valid 2013-05-30 79058
79059 Le Busseau Quick edit Valid 2013-05-30 79059
79060 Caunay Quick edit Valid 2013-05-30 79060
79061 Celles-sur-Belle Quick edit Valid 2013-05-30 79061
79062 Cerizay Quick edit Valid 2013-05-30 79062
79063 Cersay Quick edit Valid 2013-05-30 79063
79064 Chail Quick edit Valid 2013-05-30 79064
79066 Champdeniers-Saint-Denis Quick edit Valid 2013-05-30 79066
79068 Chantecorps Quick edit Valid 2013-05-30 79068
79069 Chanteloup Quick edit Valid 2013-05-30 79069
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?