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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 33,461 to 33,480.First1,6701,6711,6721,6731,6741,6751,6761,677Last
Id Label Status Status Modified Notation
81053 Cambounès Quick edit Valid 2013-05-30 81053
81054 Cambounet-sur-le-Sor Quick edit Valid 2013-05-30 81054
81055 Les Cammazes Quick edit Valid 2013-05-30 81055
81056 Campagnac Quick edit Valid 2013-05-30 81056
81058 Carbes Quick edit Valid 2013-05-30 81058
81059 Carlus Quick edit Valid 2013-05-30 81059
81060 Carmaux Quick edit Valid 2013-05-30 81060
81061 Castanet Quick edit Valid 2013-05-30 81061
81062 Castelnau-de-Brassac Quick edit Valid 2013-05-30 81062
81063 Castelnau-de-Lévis Quick edit Valid 2013-05-30 81063
81064 Castelnau-de-Montmiral Quick edit Valid 2013-05-30 81064
81065 Castres Quick edit Valid 2013-05-30 81065
81066 Caucalières Quick edit Valid 2013-05-30 81066
81067 Cestayrols Quick edit Valid 2013-05-30 81067
81068 Combefa Quick edit Valid 2013-05-30 81068
81069 Cordes-sur-Ciel Quick edit Valid 2013-05-30 81069
81070 Coufouleux Quick edit Valid 2013-05-30 81070
81071 Courris Quick edit Valid 2013-05-30 81071
81072 Crespin Quick edit Valid 2013-05-30 81072
81073 Crespinet Quick edit Valid 2013-05-30 81073
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?