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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 3,241 to 3,260.First159160161162163164165166Last
Id Label Status Status Modified Notation
10013 Assenay Quick edit Valid 2013-05-30 10013
10014 Assencières Quick edit Valid 2013-05-30 10014
10015 Aubeterre Quick edit Valid 2013-05-30 10015
10017 Aulnay Quick edit Valid 2013-05-30 10017
10018 Auxon Quick edit Valid 2013-05-30 10018
10019 Val-d'Auzon Quick edit Valid 2013-05-30 10019
10020 Avant-lès-Marcilly Quick edit Valid 2013-05-30 10020
10021 Avant-lès-Ramerupt Quick edit Valid 2013-05-30 10021
10022 Avirey-Lingey Quick edit Valid 2013-05-30 10022
10023 Avon-la-Pèze Quick edit Valid 2013-05-30 10023
10024 Avreuil Quick edit Valid 2013-05-30 10024
10025 Bagneux-la-Fosse Quick edit Valid 2013-05-30 10025
10026 Bailly-le-Franc Quick edit Valid 2013-05-30 10026
10027 Balignicourt Quick edit Valid 2013-05-30 10027
10028 Balnot-la-Grange Quick edit Valid 2013-05-30 10028
10029 Balnot-sur-Laignes Quick edit Valid 2013-05-30 10029
10030 Barberey-Saint-Sulpice Quick edit Valid 2013-05-30 10030
10031 Barbuise Quick edit Valid 2013-05-30 10031
10032 Baroville Quick edit Valid 2013-05-30 10032
10033 Bar-sur-Aube Quick edit Valid 2013-05-30 10033
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?