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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 36,321 to 36,340.First1,8131,8141,8151,8161,8171,8181,8191,820Last
Id Label Status Status Modified Notation
93051 Noisy-le-Grand Quick edit Valid 2013-05-30 93051
93053 Noisy-le-Sec Quick edit Valid 2013-05-30 93053
93055 Pantin Quick edit Valid 2013-05-30 93055
93057 Les Pavillons-sous-Bois Quick edit Valid 2013-05-30 93057
93059 Pierrefitte-sur-Seine Quick edit Valid 2013-05-30 93059
93061 Le Pré-Saint-Gervais Quick edit Valid 2013-05-30 93061
93062 Le Raincy Quick edit Valid 2013-05-30 93062
93063 Romainville Quick edit Valid 2013-05-30 93063
93064 Rosny-sous-Bois Quick edit Valid 2013-05-30 93064
93066 Saint-Denis Quick edit Valid 2013-05-30 93066
93070 Saint-Ouen Quick edit Valid 2013-05-30 93070
93071 Sevran Quick edit Valid 2013-05-30 93071
93072 Stains Quick edit Valid 2013-05-30 93072
93073 Tremblay-en-France Quick edit Valid 2013-05-30 93073
93074 Vaujours Quick edit Valid 2013-05-30 93074
93077 Villemomble Quick edit Valid 2013-05-30 93077
93078 Villepinte Quick edit Valid 2013-05-30 93078
93079 Villetaneuse Quick edit Valid 2013-05-30 93079
94001 Ablon-sur-Seine Quick edit Valid 2013-05-30 94001
94002 Alfortville Quick edit Valid 2013-05-30 94002
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?