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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 1,581 to 1,600.First7677787980818283Last
Id Label Status Status Modified Notation
04033 La Bréole Quick edit Valid 2013-05-30 04033
04034 La Brillanne Quick edit Valid 2013-05-30 04034
04035 Brunet Quick edit Valid 2013-05-30 04035
04036 Le Brusquet Quick edit Valid 2013-05-30 04036
04037 Le Caire Quick edit Valid 2013-05-30 04037
04039 Castellane Quick edit Valid 2013-05-30 04039
04040 Le Castellard-Mélan Quick edit Valid 2013-05-30 04040
04041 Le Castellet Quick edit Valid 2013-05-30 04041
04042 Castellet-lès-Sausses Quick edit Valid 2013-05-30 04042
04043 Val-de-Chalvagne Quick edit Valid 2013-05-30 04043
04045 Céreste Quick edit Valid 2013-05-30 04045
04046 Le Chaffaut-Saint-Jurson Quick edit Valid 2013-05-30 04046
04047 Champtercier Quick edit Valid 2013-05-30 04047
04049 Château-Arnoux-Saint-Auban Quick edit Valid 2013-05-30 04049
04050 Châteaufort Quick edit Valid 2013-05-30 04050
04051 Châteauneuf-Miravail Quick edit Valid 2013-05-30 04051
04053 Châteauneuf-Val-Saint-Donat Quick edit Valid 2013-05-30 04053
04054 Châteauredon Quick edit Valid 2013-05-30 04054
04055 Chaudon-Norante Quick edit Valid 2013-05-30 04055
04057 Clamensane Quick edit Valid 2013-05-30 04057
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?