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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 6,501 to 6,520.First322323324325326327328329Last
Id Label Status Status Modified Notation
23UEGE Quedgeley Severn Vale Quick edit Valid 2013-05-30 23UEGE
23UEGF Tuffley Quick edit Valid 2013-05-30 23UEGF
23UEGG Westgate Quick edit Valid 2013-05-30 23UEGG
23UFGJ Amberley and Woodchester Quick edit Valid 2013-05-30 23UFGJ
23UFGK Berkeley Quick edit Valid 2013-05-30 23UFGK
23UFGL Bisley Quick edit Valid 2013-05-30 23UFGL
23UFGM Cainscross Quick edit Valid 2013-05-30 23UFGM
23UFGN Cam East Quick edit Valid 2013-05-30 23UFGN
23UFGP Cam West Quick edit Valid 2013-05-30 23UFGP
23UFGQ Central Quick edit Valid 2013-05-30 23UFGQ
23UFGR Chalford Quick edit Valid 2013-05-30 23UFGR
23UFGS Coaley and Uley Quick edit Valid 2013-05-30 23UFGS
23UFGT Dursley Quick edit Valid 2013-05-30 23UFGT
23UFGU Eastington and Standish Quick edit Valid 2013-05-30 23UFGU
23UFGW Farmhill and Paganhill Quick edit Valid 2013-05-30 23UFGW
23UFGX Hardwicke Quick edit Valid 2013-05-30 23UFGX
23UFGY Kingswood Quick edit Valid 2013-05-30 23UFGY
23UFGZ Minchinhampton Quick edit Valid 2013-05-30 23UFGZ
23UFHA Nailsworth Quick edit Valid 2013-05-30 23UFHA
23UFHB Randwick, Whiteshill and Ruscombe Quick edit Valid 2009-07-16 23UFHB
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?