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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 34,101 to 34,120.First1,7021,7031,7041,7051,7061,7071,7081,709Last
Id Label Status Status Modified Notation
84022 Buisson Quick edit Valid 2013-05-30 84022
84023 Buoux Quick edit Valid 2013-05-30 84023
84024 Cabrières-d'Aigues Quick edit Valid 2013-05-30 84024
84025 Cabrières-d'Avignon Quick edit Valid 2013-05-30 84025
84026 Cadenet Quick edit Valid 2013-05-30 84026
84027 Caderousse Quick edit Valid 2013-05-30 84027
84028 Cairanne Quick edit Valid 2013-05-30 84028
84029 Camaret-sur-Aigues Quick edit Valid 2013-05-30 84029
84030 Caromb Quick edit Valid 2013-05-30 84030
84031 Carpentras Quick edit Valid 2013-05-30 84031
84032 Caseneuve Quick edit Valid 2013-05-30 84032
84033 Castellet Quick edit Valid 2013-05-30 84033
84034 Caumont-sur-Durance Quick edit Valid 2013-05-30 84034
84035 Cavaillon Quick edit Valid 2013-05-30 84035
84036 Châteauneuf-de-Gadagne Quick edit Valid 2013-05-30 84036
84037 Châteauneuf-du-Pape Quick edit Valid 2013-05-30 84037
84038 Cheval-Blanc Quick edit Valid 2013-05-30 84038
84039 Courthézon Quick edit Valid 2013-05-30 84039
84040 Crestet Quick edit Valid 2013-05-30 84040
84041 Crillon-le-Brave Quick edit Valid 2013-05-30 84041
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?