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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 1,761 to 1,780.First8586878889909192Last
Id Label Status Status Modified Notation
05006 L' Argentière-la-Bessée Quick edit Valid 2013-05-30 05006
05007 Arvieux Quick edit Valid 2013-05-30 05007
05008 Aspremont Quick edit Valid 2013-05-30 05008
05009 Aspres-lès-Corps Quick edit Valid 2013-05-30 05009
05010 Aspres-sur-Buëch Quick edit Valid 2013-05-30 05010
05011 Avançon Quick edit Valid 2013-05-30 05011
05012 Baratier Quick edit Valid 2013-05-30 05012
05013 Barcillonnette Quick edit Valid 2013-05-30 05013
05014 Barret-sur-Méouge Quick edit Valid 2013-05-30 05014
05016 La Bâtie-Montsaléon Quick edit Valid 2013-05-30 05016
05017 La Bâtie-Neuve Quick edit Valid 2013-05-30 05017
05018 La Bâtie-Vieille Quick edit Valid 2013-05-30 05018
05019 La Beaume Quick edit Valid 2013-05-30 05019
05020 Bénévent-et-Charbillac Quick edit Valid 2013-05-30 05020
05021 Le Bersac Quick edit Valid 2013-05-30 05021
05022 Bréziers Quick edit Valid 2013-05-30 05022
05023 Briançon Quick edit Valid 2013-05-30 05023
05024 Bruis Quick edit Valid 2013-05-30 05024
05025 Buissard Quick edit Valid 2013-05-30 05025
05026 Ceillac Quick edit Valid 2013-05-30 05026
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?