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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 34,881 to 34,900.First1,7411,7421,7431,7441,7451,7461,7471,748Last
Id Label Status Status Modified Notation
87089 Magnac-Laval Quick edit Valid 2013-05-30 87089
87090 Mailhac-sur-Benaize Quick edit Valid 2013-05-30 87090
87091 Maisonnais-sur-Tardoire Quick edit Valid 2013-05-30 87091
87092 Marval Quick edit Valid 2013-05-30 87092
87093 Masléon Quick edit Valid 2013-05-30 87093
87094 Meilhac Quick edit Valid 2013-05-30 87094
87095 Meuzac Quick edit Valid 2013-05-30 87095
87096 La Meyze Quick edit Valid 2013-05-30 87096
87097 Mézières-sur-Issoire Quick edit Valid 2013-05-30 87097
87099 Moissannes Quick edit Valid 2013-05-30 87099
87100 Montrol-Sénard Quick edit Valid 2013-05-30 87100
87101 Mortemart Quick edit Valid 2013-05-30 87101
87103 Nantiat Quick edit Valid 2013-05-30 87103
87104 Nedde Quick edit Valid 2013-05-30 87104
87105 Neuvic-Entier Quick edit Valid 2013-05-30 87105
87106 Nexon Quick edit Valid 2013-05-30 87106
87107 Nieul Quick edit Valid 2013-05-30 87107
87108 Nouic Quick edit Valid 2013-05-30 87108
87109 Oradour-Saint-Genest Quick edit Valid 2013-05-30 87109
87110 Oradour-sur-Glane Quick edit Valid 2013-05-30 87110
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?