You are here:
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 34,021 to 34,040.First1,6981,6991,7001,7011,7021,7031,7041,705Last
Id Label Status Status Modified Notation
83096 Pourcieux Quick edit Valid 2013-05-30 83096
83097 Pourrières Quick edit Valid 2013-05-30 83097
83098 Le Pradet Quick edit Valid 2013-05-30 83098
83099 Puget-sur-Argens Quick edit Valid 2013-05-30 83099
83100 Puget-Ville Quick edit Valid 2013-05-30 83100
83101 Ramatuelle Quick edit Valid 2013-05-30 83101
83102 Régusse Quick edit Valid 2013-05-30 83102
83103 Le Revest-les-Eaux Quick edit Valid 2013-05-30 83103
83104 Rians Quick edit Valid 2013-05-30 83104
83105 Riboux Quick edit Valid 2013-05-30 83105
83106 Rocbaron Quick edit Valid 2013-05-30 83106
83107 Roquebrune-sur-Argens Quick edit Valid 2013-05-30 83107
83108 La Roquebrussanne Quick edit Valid 2013-05-30 83108
83109 La Roque-Esclapon Quick edit Valid 2013-05-30 83109
83110 Rougiers Quick edit Valid 2013-05-30 83110
83111 Sainte-Anastasie-sur-Issole Quick edit Valid 2013-05-30 83111
83112 Saint-Cyr-sur-Mer Quick edit Valid 2013-05-30 83112
83113 Saint-Julien Quick edit Valid 2013-05-30 83113
83114 Saint-Martin Quick edit Valid 2013-05-30 83114
83115 Sainte-Maxime Quick edit Valid 2013-05-30 83115
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?