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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 2,441 to 2,460.First119120121122123124125126Last
Id Label Status Status Modified Notation
08008 Amagne Quick edit Valid 2013-05-30 08008
08009 Amblimont Quick edit Valid 2013-05-30 08009
08010 Ambly-Fleury Quick edit Valid 2013-05-30 08010
08011 Anchamps Quick edit Valid 2013-05-30 08011
08013 Angecourt Quick edit Valid 2013-05-30 08013
08014 Annelles Quick edit Valid 2013-05-30 08014
08015 Antheny Quick edit Valid 2013-05-30 08015
08016 Aouste Quick edit Valid 2013-05-30 08016
08017 Apremont Quick edit Valid 2013-05-30 08017
08018 Ardeuil-et-Montfauxelles Quick edit Valid 2013-05-30 08018
08019 Les Grandes-Armoises Quick edit Valid 2013-05-30 08019
08020 Les Petites-Armoises Quick edit Valid 2013-05-30 08020
08021 Arnicourt Quick edit Valid 2013-05-30 08021
08022 Arreux Quick edit Valid 2013-05-30 08022
08023 Artaise-le-Vivier Quick edit Valid 2013-05-30 08023
08024 Asfeld Quick edit Valid 2013-05-30 08024
08025 Attigny Quick edit Valid 2013-05-30 08025
08026 Aubigny-les-Pothées Quick edit Valid 2013-05-30 08026
08027 Auboncourt-Vauzelles Quick edit Valid 2013-05-30 08027
08028 Aubrives Quick edit Valid 2013-05-30 08028
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?