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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 34,281 to 34,300.First1,7111,7121,7131,7141,7151,7161,7171,718Last
Id Label Status Status Modified Notation
85053 La Chapelle-aux-Lys Quick edit Valid 2013-05-30 85053
85054 La Chapelle-Hermier Quick edit Valid 2013-05-30 85054
85055 La Chapelle-Palluau Quick edit Valid 2013-05-30 85055
85056 La Chapelle-Thémer Quick edit Valid 2013-05-30 85056
85058 Chasnais Quick edit Valid 2013-05-30 85058
85059 La Châtaigneraie Quick edit Valid 2013-05-30 85059
85060 Château-d'Olonne Quick edit Valid 2013-05-30 85060
85061 Château-Guibert Quick edit Valid 2013-05-30 85061
85062 Châteauneuf Quick edit Valid 2013-05-30 85062
85063 Les Châtelliers-Châteaumur Quick edit Valid 2013-05-30 85063
85064 Chauché Quick edit Valid 2013-05-30 85064
85065 Chavagnes-en-Paillers Quick edit Valid 2013-05-30 85065
85066 Chavagnes-les-Redoux Quick edit Valid 2013-05-30 85066
85067 Cheffois Quick edit Valid 2013-05-30 85067
85069 Les Clouzeaux Quick edit Valid 2013-05-30 85069
85070 Coëx Quick edit Valid 2013-05-30 85070
85071 Commequiers Quick edit Valid 2013-05-30 85071
85072 La Copechagnière Quick edit Valid 2013-05-30 85072
85073 Corpe Quick edit Valid 2013-05-30 85073
85074 La Couture Quick edit Valid 2013-05-30 85074
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?