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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 1,781 to 1,800.First8687888990919293Last
Id Label Status Status Modified Notation
05027 Cervières Quick edit Valid 2013-05-30 05027
05028 Chabestan Quick edit Valid 2013-05-30 05028
05029 Chabottes Quick edit Valid 2013-05-30 05029
05031 Champcella Quick edit Valid 2013-05-30 05031
05032 Champoléon Quick edit Valid 2013-05-30 05032
05033 Chanousse Quick edit Valid 2013-05-30 05033
05034 Châteauneuf-de-Chabre Quick edit Valid 2013-05-30 05034
05035 Châteauneuf-d'Oze Quick edit Valid 2013-05-30 05035
05036 Châteauroux-les-Alpes Quick edit Valid 2013-05-30 05036
05037 Châteauvieux Quick edit Valid 2013-05-30 05037
05038 Château-Ville-Vieille Quick edit Valid 2013-05-30 05038
05039 Chauffayer Quick edit Valid 2013-05-30 05039
05040 Chorges Quick edit Valid 2013-05-30 05040
05042 La Cluse Quick edit Valid 2013-05-30 05042
05043 Les Costes Quick edit Valid 2013-05-30 05043
05044 Crévoux Quick edit Valid 2013-05-30 05044
05045 Crots Quick edit Valid 2013-05-30 05045
05046 Embrun Quick edit Valid 2013-05-30 05046
05047 Éourres Quick edit Valid 2013-05-30 05047
05048 L' Épine Quick edit Valid 2013-05-30 05048
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?