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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 34,801 to 34,820.First1,7371,7381,7391,7401,7411,7421,7431,744Last
Id Label Status Status Modified Notation
87008 La Bazeuge Quick edit Valid 2013-05-30 87008
87009 Beaumont-du-Lac Quick edit Valid 2013-05-30 87009
87011 Bellac Quick edit Valid 2013-05-30 87011
87012 Berneuil Quick edit Valid 2013-05-30 87012
87013 Bersac-sur-Rivalier Quick edit Valid 2013-05-30 87013
87014 Bessines-sur-Gartempe Quick edit Valid 2013-05-30 87014
87015 Beynac Quick edit Valid 2013-05-30 87015
87016 Les Billanges Quick edit Valid 2013-05-30 87016
87017 Blanzac Quick edit Valid 2013-05-30 87017
87018 Blond Quick edit Valid 2013-05-30 87018
87019 Boisseuil Quick edit Valid 2013-05-30 87019
87020 Bonnac-la-Côte Quick edit Valid 2013-05-30 87020
87021 Bosmie-l'Aiguille Quick edit Valid 2013-05-30 87021
87022 Breuilaufa Quick edit Valid 2013-05-30 87022
87023 Le Buis Quick edit Valid 2013-05-30 87023
87024 Bujaleuf Quick edit Valid 2013-05-30 87024
87025 Burgnac Quick edit Valid 2013-05-30 87025
87026 Bussière-Boffy Quick edit Valid 2013-05-30 87026
87027 Bussière-Galant Quick edit Valid 2013-05-30 87027
87028 Bussière-Poitevine Quick edit Valid 2013-05-30 87028
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?