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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 34,261 to 34,280.First1,7101,7111,7121,7131,7141,7151,7161,717Last
Id Label Status Status Modified Notation
85033 Bourneau Quick edit Valid 2013-05-30 85033
85034 Bournezeau Quick edit Valid 2013-05-30 85034
85035 Bretignolles-sur-Mer Quick edit Valid 2013-05-30 85035
85036 La Bretonnière-la-Claye Quick edit Valid 2013-05-30 85036
85037 Breuil-Barret Quick edit Valid 2013-05-30 85037
85038 Les Brouzils Quick edit Valid 2013-05-30 85038
85039 La Bruffière Quick edit Valid 2013-05-30 85039
85040 La Caillère-Saint-Hilaire Quick edit Valid 2013-05-30 85040
85041 Cezais Quick edit Valid 2013-05-30 85041
85042 Chaillé-les-Marais Quick edit Valid 2013-05-30 85042
85043 Chaillé-sous-les-Ormeaux Quick edit Valid 2013-05-30 85043
85044 Chaix Quick edit Valid 2013-05-30 85044
85045 La Chaize-Giraud Quick edit Valid 2013-05-30 85045
85046 La Chaize-le-Vicomte Quick edit Valid 2013-05-30 85046
85047 Challans Quick edit Valid 2013-05-30 85047
85048 Chambretaud Quick edit Valid 2013-05-30 85048
85049 Champagné-les-Marais Quick edit Valid 2013-05-30 85049
85050 Le Champ-Saint-Père Quick edit Valid 2013-05-30 85050
85051 Chantonnay Quick edit Valid 2013-05-30 85051
85052 La Chapelle-Achard Quick edit Valid 2013-05-30 85052
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?