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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 5,601 to 5,620.First277278279280281282283284Last
Id Label Status Status Modified Notation
17UDGQ Walton Quick edit Valid 2013-05-30 17UDGQ
17UDGR West Quick edit Valid 2013-05-30 17UDGR
17UFGC Ashbourne North Quick edit Valid 2013-05-30 17UFGC
17UFGD Ashbourne South Quick edit Valid 2013-05-30 17UFGD
17UFGE Bakewell Quick edit Valid 2013-05-30 17UFGE
17UFGF Bradwell Quick edit Valid 2013-05-30 17UFGF
17UFGG Brailsford Quick edit Valid 2013-05-30 17UFGG
17UFGH Calver Quick edit Valid 2013-05-30 17UFGH
17UFGJ Carsington Water Quick edit Valid 2013-05-30 17UFGJ
17UFGK Chatsworth Quick edit Valid 2013-05-30 17UFGK
17UFGL Clifton and Bradley Quick edit Valid 2013-05-30 17UFGL
17UFGM Darley Dale Quick edit Valid 2013-05-30 17UFGM
17UFGN Dovedale and Parwich Quick edit Valid 2013-05-30 17UFGN
17UFGP Doveridge and Sudbury Quick edit Valid 2013-05-30 17UFGP
17UFGQ Hartington and Taddington Quick edit Valid 2013-05-30 17UFGQ
17UFGR Hathersage and Eyam Quick edit Valid 2013-05-30 17UFGR
17UFGS Hulland Quick edit Valid 2013-05-30 17UFGS
17UFGT Lathkill and Bradford Quick edit Valid 2013-05-30 17UFGT
17UFGU Litton and Longstone Quick edit Valid 2013-05-30 17UFGU
17UFGW Masson Quick edit Valid 2013-05-30 17UFGW
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?