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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 32,721 to 32,740.First1,6331,6341,6351,6361,6371,6381,6391,640Last
Id Label Status Status Modified Notation
80100 Bettencourt-Saint-Ouen Quick edit Valid 2013-05-30 80100
80101 Beuvraignes Quick edit Valid 2013-05-30 80101
80102 Biaches Quick edit Valid 2013-05-30 80102
80103 Biarre Quick edit Valid 2013-05-30 80103
80104 Biencourt Quick edit Valid 2013-05-30 80104
80105 Billancourt Quick edit Valid 2013-05-30 80105
80106 Blangy-sous-Poix Quick edit Valid 2013-05-30 80106
80107 Blangy-Tronville Quick edit Valid 2013-05-30 80107
80108 Boisbergues Quick edit Valid 2013-05-30 80108
80109 Le Boisle Quick edit Valid 2013-05-30 80109
80110 Boismont Quick edit Valid 2013-05-30 80110
80112 Bonnay Quick edit Valid 2013-05-30 80112
80113 Bonneville Quick edit Valid 2013-05-30 80113
80114 Bosquel Quick edit Valid 2013-05-30 80114
80115 Bouchavesnes-Bergen Quick edit Valid 2013-05-30 80115
80116 Bouchoir Quick edit Valid 2013-05-30 80116
80117 Bouchon Quick edit Valid 2013-05-30 80117
80118 Boufflers Quick edit Valid 2013-05-30 80118
80119 Bougainville Quick edit Valid 2013-05-30 80119
80120 Bouillancourt-en-Séry Quick edit Valid 2013-05-30 80120
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?