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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 3,281 to 3,300.First161162163164165166167168Last
Id Label Status Status Modified Notation
10055 Bourguignons Quick edit Valid 2013-05-30 10055
10056 Bouy-Luxembourg Quick edit Valid 2013-05-30 10056
10057 Bouy-sur-Orvin Quick edit Valid 2013-05-30 10057
10058 Bragelogne-Beauvoir Quick edit Valid 2013-05-30 10058
10059 Braux Quick edit Valid 2013-05-30 10059
10060 Bréviandes Quick edit Valid 2013-05-30 10060
10061 Brévonnes Quick edit Valid 2013-05-30 10061
10062 Briel-sur-Barse Quick edit Valid 2013-05-30 10062
10063 Brienne-la-Vieille Quick edit Valid 2013-05-30 10063
10064 Brienne-le-Château Quick edit Valid 2013-05-30 10064
10065 Brillecourt Quick edit Valid 2013-05-30 10065
10066 Bucey-en-Othe Quick edit Valid 2013-05-30 10066
10067 Buchères Quick edit Valid 2013-05-30 10067
10068 Buxeuil Quick edit Valid 2013-05-30 10068
10069 Buxières-sur-Arce Quick edit Valid 2013-05-30 10069
10070 Celles-sur-Ource Quick edit Valid 2013-05-30 10070
10071 Chacenay Quick edit Valid 2013-05-30 10071
10072 La Chaise Quick edit Valid 2013-05-30 10072
10073 Chalette-sur-Voire Quick edit Valid 2013-05-30 10073
10074 Chamoy Quick edit Valid 2013-05-30 10074
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?