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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 34,861 to 34,880.First1,7401,7411,7421,7431,7441,7451,7461,747Last
Id Label Status Status Modified Notation
87069 Gajoubert Quick edit Valid 2013-05-30 87069
87070 La Geneytouse Quick edit Valid 2013-05-30 87070
87071 Glandon Quick edit Valid 2013-05-30 87071
87072 Glanges Quick edit Valid 2013-05-30 87072
87073 Gorre Quick edit Valid 2013-05-30 87073
87074 Les Grands-Chézeaux Quick edit Valid 2013-05-30 87074
87075 Isle Quick edit Valid 2013-05-30 87075
87076 Jabreilles-les-Bordes Quick edit Valid 2013-05-30 87076
87077 Janailhac Quick edit Valid 2013-05-30 87077
87078 Javerdat Quick edit Valid 2013-05-30 87078
87079 La Jonchère-Saint-Maurice Quick edit Valid 2013-05-30 87079
87080 Jouac Quick edit Valid 2013-05-30 87080
87081 Jourgnac Quick edit Valid 2013-05-30 87081
87082 Ladignac-le-Long Quick edit Valid 2013-05-30 87082
87083 Laurière Quick edit Valid 2013-05-30 87083
87084 Lavignac Quick edit Valid 2013-05-30 87084
87085 Limoges Quick edit Valid 2013-05-30 87085
87086 Linards Quick edit Valid 2013-05-30 87086
87087 Lussac-les-Églises Quick edit Valid 2013-05-30 87087
87088 Magnac-Bourg Quick edit Valid 2013-05-30 87088
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?