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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 34,241 to 34,260.First1,7091,7101,7111,7121,7131,7141,7151,716Last
Id Label Status Status Modified Notation
85012 La Barre-de-Monts Quick edit Valid 2013-05-30 85012
85013 Bazoges-en-Paillers Quick edit Valid 2013-05-30 85013
85014 Bazoges-en-Pareds Quick edit Valid 2013-05-30 85014
85015 Beaufou Quick edit Valid 2013-05-30 85015
85016 Beaulieu-sous-la-Roche Quick edit Valid 2013-05-30 85016
85017 Beaurepaire Quick edit Valid 2013-05-30 85017
85018 Beauvoir-sur-Mer Quick edit Valid 2013-05-30 85018
85019 Belleville-sur-Vie Quick edit Valid 2013-05-30 85019
85020 Benet Quick edit Valid 2013-05-30 85020
85021 La Bernardière Quick edit Valid 2013-05-30 85021
85022 Le Bernard Quick edit Valid 2013-05-30 85022
85023 Bessay Quick edit Valid 2013-05-30 85023
85024 Bois-de-Céné Quick edit Valid 2013-05-30 85024
85025 La Boissière-de-Montaigu Quick edit Valid 2013-05-30 85025
85026 La Boissière-des-Landes Quick edit Valid 2013-05-30 85026
85027 Boufféré Quick edit Valid 2013-05-30 85027
85028 Bouillé-Courdault Quick edit Valid 2013-05-30 85028
85029 Bouin Quick edit Valid 2013-05-30 85029
85030 Boulogne Quick edit Valid 2013-05-30 85030
85031 Le Boupère Quick edit Valid 2013-05-30 85031
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?