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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 34,001 to 34,020.First1,6971,6981,6991,7001,7011,7021,7031,704Last
Id Label Status Status Modified Notation
83076 Mazaugues Quick edit Valid 2013-05-30 83076
83077 Méounes-lès-Montrieux Quick edit Valid 2013-05-30 83077
83078 Moissac-Bellevue Quick edit Valid 2013-05-30 83078
83079 La Môle Quick edit Valid 2013-05-30 83079
83080 Mons Quick edit Valid 2013-05-30 83080
83081 Montauroux Quick edit Valid 2013-05-30 83081
83082 Montferrat Quick edit Valid 2013-05-30 83082
83083 Montfort-sur-Argens Quick edit Valid 2013-05-30 83083
83084 Montmeyan Quick edit Valid 2013-05-30 83084
83085 La Motte Quick edit Valid 2013-05-30 83085
83086 Le Muy Quick edit Valid 2013-05-30 83086
83087 Nans-les-Pins Quick edit Valid 2013-05-30 83087
83088 Néoules Quick edit Valid 2013-05-30 83088
83089 Ollières Quick edit Valid 2013-05-30 83089
83090 Ollioules Quick edit Valid 2013-05-30 83090
83091 Pierrefeu-du-Var Quick edit Valid 2013-05-30 83091
83092 Pignans Quick edit Valid 2013-05-30 83092
83093 Plan-d'Aups-Sainte-Baume Quick edit Valid 2013-05-30 83093
83094 Plan-de-la-Tour Quick edit Valid 2013-05-30 83094
83095 Pontevès Quick edit Valid 2013-05-30 83095
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?