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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 32,381 to 32,400.First1,6161,6171,6181,6191,6201,6211,6221,623Last
Id Label Status Status Modified Notation
79070 La Chapelle-Bâton Quick edit Valid 2013-05-30 79070
79071 La Chapelle-Bertrand Quick edit Valid 2013-05-30 79071
79072 La Chapelle-Gaudin Quick edit Valid 2013-05-30 79072
79074 La Chapelle-Pouilloux Quick edit Valid 2013-05-30 79074
79075 La Chapelle-Saint-Étienne Quick edit Valid 2013-05-30 79075
79076 La Chapelle-Saint-Laurent Quick edit Valid 2013-05-30 79076
79077 La Chapelle-Thireuil Quick edit Valid 2013-05-30 79077
79078 Prissé-la-Charrière Quick edit Valid 2013-05-30 79078
79079 Mauléon Quick edit Valid 2013-05-30 79079
79080 Châtillon-sur-Thouet Quick edit Valid 2013-05-30 79080
79081 Chauray Quick edit Valid 2013-05-30 79081
79083 Chef-Boutonne Quick edit Valid 2013-05-30 79083
79084 Chenay Quick edit Valid 2013-05-30 79084
79085 Chérigné Quick edit Valid 2013-05-30 79085
79086 Cherveux Quick edit Valid 2013-05-30 79086
79087 Chey Quick edit Valid 2013-05-30 79087
79088 Chiché Quick edit Valid 2013-05-30 79088
79089 Le Chillou Quick edit Valid 2013-05-30 79089
79090 Chizé Quick edit Valid 2013-05-30 79090
79091 Cirières Quick edit Valid 2013-05-30 79091
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?