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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 2,521 to 2,540.First123124125126127128129130Last
Id Label Status Status Modified Notation
08095 Chagny Quick edit Valid 2013-05-30 08095
08096 Chalandry-Elaire Quick edit Valid 2013-05-30 08096
08097 Challerange Quick edit Valid 2013-05-30 08097
08098 Champigneulle Quick edit Valid 2013-05-30 08098
08099 Champigneul-sur-Vence Quick edit Valid 2013-05-30 08099
08100 Champlin Quick edit Valid 2013-05-30 08100
08101 La Chapelle Quick edit Valid 2013-05-30 08101
08102 Chappes Quick edit Valid 2013-05-30 08102
08103 Charbogne Quick edit Valid 2013-05-30 08103
08104 Chardeny Quick edit Valid 2013-05-30 08104
08105 Charleville-Mézières Quick edit Valid 2013-05-30 08105
08106 Charnois Quick edit Valid 2013-05-30 08106
08107 Château-Porcien Quick edit Valid 2013-05-30 08107
08109 Chatel-Chéhéry Quick edit Valid 2013-05-30 08109
08110 Le Châtelet-sur-Sormonne Quick edit Valid 2013-05-30 08110
08111 Le Châtelet-sur-Retourne Quick edit Valid 2013-05-30 08111
08113 Chaumont-Porcien Quick edit Valid 2013-05-30 08113
08114 Chéhéry Quick edit Valid 2013-05-30 08114
08115 Chémery-sur-Bar Quick edit Valid 2013-05-30 08115
08116 Le Chesne Quick edit Valid 2013-05-30 08116
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?