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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

10,310 concepts found, displaying 8,801 to 8,820.First437438439440441442443444Last
Id Label Status Status Modified Notation
40UFGN West Quantock Quick edit Valid 2013-05-30 40UFGN
40UFGP Williton Quick edit Valid 2013-05-30 40UFGP
41UBFR Brereton and Ravenhill Quick edit Valid 2013-05-30 41UBFR
41UBFS Cannock East Quick edit Valid 2013-05-30 41UBFS
41UBFT Cannock North Quick edit Valid 2013-05-30 41UBFT
41UBFU Cannock South Quick edit Valid 2013-05-30 41UBFU
41UBFW Cannock West Quick edit Valid 2013-05-30 41UBFW
41UBFX Etching Hill and The Heath Quick edit Valid 2013-05-30 41UBFX
41UBFY Hagley Quick edit Valid 2013-05-30 41UBFY
41UBFZ Hawks Green Quick edit Valid 2013-05-30 41UBFZ
41UBGA Heath Hayes East and Wimblebury Quick edit Valid 2013-05-30 41UBGA
41UBGB Hednesford Green Heath Quick edit Valid 2013-05-30 41UBGB
41UBGC Hednesford North Quick edit Valid 2013-05-30 41UBGC
41UBGD Hednesford South Quick edit Valid 2013-05-30 41UBGD
41UBGE Norton Canes Quick edit Valid 2013-05-30 41UBGE
41UBGF Rawnsley Quick edit Valid 2013-05-30 41UBGF
41UBGG Western Springs Quick edit Valid 2013-05-30 41UBGG
41UCGC Abbey Quick edit Valid 2013-05-30 41UCGC
41UCGD Anglesey Quick edit Valid 2013-05-30 41UCGD
41UCGE Bagots Quick edit Valid 2013-05-30 41UCGE
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?