You are here:
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 35,561 to 35,580.First1,7751,7761,7771,7781,7791,7801,7811,782Last
Id Label Status Status Modified Notation
89055 Brienon-sur-Armançon Quick edit Valid 2013-05-30 89055
89056 Brion Quick edit Valid 2013-05-30 89056
89057 Brosses Quick edit Valid 2013-05-30 89057
89058 Bussières Quick edit Valid 2013-05-30 89058
89059 Bussy-en-Othe Quick edit Valid 2013-05-30 89059
89060 Bussy-le-Repos Quick edit Valid 2013-05-30 89060
89061 Butteaux Quick edit Valid 2013-05-30 89061
89062 Carisey Quick edit Valid 2013-05-30 89062
89063 La Celle-Saint-Cyr Quick edit Valid 2013-05-30 89063
89064 Censy Quick edit Valid 2013-05-30 89064
89065 Cérilly Quick edit Valid 2013-05-30 89065
89066 Cerisiers Quick edit Valid 2013-05-30 89066
89067 Cézy Quick edit Valid 2013-05-30 89067
89068 Chablis Quick edit Valid 2013-05-30 89068
89069 Chailley Quick edit Valid 2013-05-30 89069
89070 Chambeugle Quick edit Valid 2013-05-30 89070
89071 Chamoux Quick edit Valid 2013-05-30 89071
89072 Champcevrais Quick edit Valid 2013-05-30 89072
89073 Champignelles Quick edit Valid 2013-05-30 89073
89074 Champigny Quick edit Valid 2013-05-30 89074
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?