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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 81 to 100.First12345678Last
Id Label Status Status Modified Notation
01088 Charnoz-sur-Ain Quick edit Valid 2013-05-30 01088
01089 Château-Gaillard Quick edit Valid 2013-05-30 01089
01090 Châtenay Quick edit Valid 2013-05-30 01090
01091 Châtillon-en-Michaille Quick edit Valid 2013-05-30 01091
01092 Châtillon-la-Palud Quick edit Valid 2013-05-30 01092
01093 Châtillon-sur-Chalaronne Quick edit Valid 2013-05-30 01093
01094 Chavannes-sur-Reyssouze Quick edit Valid 2013-05-30 01094
01095 Chavannes-sur-Suran Quick edit Valid 2013-05-30 01095
01096 Chaveyriat Quick edit Valid 2013-05-30 01096
01097 Chavornay Quick edit Valid 2013-05-30 01097
01098 Chazey-Bons Quick edit Valid 2013-05-30 01098
01099 Chazey-sur-Ain Quick edit Valid 2013-05-30 01099
01100 Cheignieu-la-Balme Quick edit Valid 2013-05-30 01100
01101 Chevillard Quick edit Valid 2013-05-30 01101
01102 Chevroux Quick edit Valid 2013-05-30 01102
01103 Chevry Quick edit Valid 2013-05-30 01103
01104 Chézery-Forens Quick edit Valid 2013-05-30 01104
01105 Civrieux Quick edit Valid 2013-05-30 01105
01106 Cize Quick edit Valid 2013-05-30 01106
01107 Cleyzieu Quick edit Valid 2013-05-30 01107
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?