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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 36,261 to 36,280.First1,8101,8111,8121,8131,8141,8151,8161,817Last
Id Label Status Status Modified Notation
91691 Yerres Quick edit Valid 2013-05-30 91691
91692 Les Ulis Quick edit Valid 2013-05-30 91692
92002 Antony Quick edit Valid 2013-05-30 92002
92004 Asnières-sur-Seine Quick edit Valid 2013-05-30 92004
92007 Bagneux Quick edit Valid 2013-05-30 92007
92009 Bois-Colombes Quick edit Valid 2013-05-30 92009
92012 Boulogne-Billancourt Quick edit Valid 2013-05-30 92012
92014 Bourg-la-Reine Quick edit Valid 2013-05-30 92014
92019 Châtenay-Malabry Quick edit Valid 2013-05-30 92019
92020 Châtillon Quick edit Valid 2013-05-30 92020
92022 Chaville Quick edit Valid 2013-05-30 92022
92023 Clamart Quick edit Valid 2013-05-30 92023
92024 Clichy Quick edit Valid 2013-05-30 92024
92025 Colombes Quick edit Valid 2013-05-30 92025
92026 Courbevoie Quick edit Valid 2013-05-30 92026
92032 Fontenay-aux-Roses Quick edit Valid 2013-05-30 92032
92033 Garches Quick edit Valid 2013-05-30 92033
92035 La Garenne-Colombes Quick edit Valid 2013-05-30 92035
92036 Gennevilliers Quick edit Valid 2013-05-30 92036
92040 Issy-les-Moulineaux Quick edit Valid 2013-05-30 92040
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?