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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 36,581 to 36,600.First1,8261,8271,8281,8291,8301,8311,8321,833Last
Id Label Status Status Modified Notation
9A111 Deshaies Quick edit Valid 2013-05-30 9A111
9A112 Grand-Bourg Quick edit Valid 2013-05-30 9A112
9A113 Le Gosier Quick edit Valid 2013-05-30 9A113
9A114 Goyave Quick edit Valid 2013-05-30 9A114
9A115 Lamentin Quick edit Valid 2013-05-30 9A115
9A116 Morne-à-l'Eau Quick edit Valid 2013-05-30 9A116
9A117 Le Moule Quick edit Valid 2013-05-30 9A117
9A118 Petit-Bourg Quick edit Valid 2013-05-30 9A118
9A119 Petit-Canal Quick edit Valid 2013-05-30 9A119
9A120 Pointe-à-Pitre Quick edit Valid 2013-05-30 9A120
9A121 Pointe-Noire Quick edit Valid 2013-05-30 9A121
9A122 Port-Louis Quick edit Valid 2013-05-30 9A122
9A124 Saint-Claude Quick edit Valid 2013-05-30 9A124
9A125 Saint-François Quick edit Valid 2013-05-30 9A125
9A126 Saint-Louis Quick edit Valid 2013-05-30 9A126
9A128 Sainte-Anne Quick edit Valid 2013-05-30 9A128
9A129 Sainte-Rose Quick edit Valid 2013-05-30 9A129
9A130 Terre-de-Bas Quick edit Valid 2013-05-30 9A130
9A131 Terre-de-Haut Quick edit Valid 2013-05-30 9A131
9A132 Trois-Rivières Quick edit Valid 2013-05-30 9A132
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?