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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 36,361 to 36,380.First1,8151,8161,8171,8181,8191,8201,8211,822Last
Id Label Status Status Modified Notation
94047 Mandres-les-Roses Quick edit Valid 2013-05-30 94047
94048 Marolles-en-Brie Quick edit Valid 2013-05-30 94048
94052 Nogent-sur-Marne Quick edit Valid 2013-05-30 94052
94053 Noiseau Quick edit Valid 2013-05-30 94053
94054 Orly Quick edit Valid 2013-05-30 94054
94055 Ormesson-sur-Marne Quick edit Valid 2013-05-30 94055
94056 Périgny Quick edit Valid 2013-05-30 94056
94058 Le Perreux-sur-Marne Quick edit Valid 2013-05-30 94058
94059 Le Plessis-Trévise Quick edit Valid 2013-05-30 94059
94060 La Queue-en-Brie Quick edit Valid 2013-05-30 94060
94065 Rungis Quick edit Valid 2013-05-30 94065
94067 Saint-Mandé Quick edit Valid 2013-05-30 94067
94068 Saint-Maur-des-Fossés Quick edit Valid 2013-05-30 94068
94069 Saint-Maurice Quick edit Valid 2013-05-30 94069
94070 Santeny Quick edit Valid 2013-05-30 94070
94071 Sucy-en-Brie Quick edit Valid 2013-05-30 94071
94073 Thiais Quick edit Valid 2013-05-30 94073
94074 Valenton Quick edit Valid 2013-05-30 94074
94075 Villecresnes Quick edit Valid 2013-05-30 94075
94076 Villejuif Quick edit Valid 2013-05-30 94076
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?