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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 36,561 to 36,580.First1,8251,8261,8271,8281,8291,8301,8311,832Last
Id Label Status Status Modified Notation
95652 Viarmes Quick edit Valid 2013-05-30 95652
95656 Vienne-en-Arthies Quick edit Valid 2013-05-30 95656
95658 Vigny Quick edit Valid 2013-05-30 95658
95660 Villaines-sous-Bois Quick edit Valid 2013-05-30 95660
95675 Villeron Quick edit Valid 2013-05-30 95675
95676 Villers-en-Arthies Quick edit Valid 2013-05-30 95676
95678 Villiers-Adam Quick edit Valid 2013-05-30 95678
95680 Villiers-le-Bel Quick edit Valid 2013-05-30 95680
95682 Villiers-le-Sec Quick edit Valid 2013-05-30 95682
95690 Wy-dit-Joli-Village Quick edit Valid 2013-05-30 95690
9A101 Les Abymes Quick edit Valid 2013-05-30 9A101
9A102 Anse-Bertrand Quick edit Valid 2013-05-30 9A102
9A103 Baie-Mahault Quick edit Valid 2013-05-30 9A103
9A104 Baillif Quick edit Valid 2013-05-30 9A104
9A105 Basse-Terre Quick edit Valid 2013-05-30 9A105
9A106 Bouillante Quick edit Valid 2013-05-30 9A106
9A107 Capesterre-Belle-Eau Quick edit Valid 2013-05-30 9A107
9A108 Capesterre-de-Marie-Galante Quick edit Valid 2013-05-30 9A108
9A109 Gourbeyre Quick edit Valid 2013-05-30 9A109
9A110 La Désirade Quick edit Valid 2013-05-30 9A110
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?