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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 8,181 to 8,200.First406407408409410411412413Last
Id Label Status Status Modified Notation
34UHFS Castle Quick edit Valid 2013-05-30 34UHFS
34UHFT Croyland Quick edit Valid 2013-05-30 34UHFT
34UHFU Earls Barton Quick edit Valid 2013-05-30 34UHFU
34UHFW Finedon Quick edit Valid 2013-05-30 34UHFW
34UHFX Great Doddington and Wilby Quick edit Valid 2013-05-30 34UHFX
34UHFY Hemmingwell Quick edit Valid 2013-05-30 34UHFY
34UHFZ Irchester Quick edit Valid 2013-05-30 34UHFZ
34UHGA North Quick edit Valid 2013-05-30 34UHGA
34UHGB Queensway Quick edit Valid 2013-05-30 34UHGB
34UHGC Redwell East Quick edit Valid 2013-05-30 34UHGC
34UHGD Redwell West Quick edit Valid 2013-05-30 34UHGD
34UHGE South Quick edit Valid 2013-05-30 34UHGE
34UHGF Swanspool Quick edit Valid 2013-05-30 34UHGF
34UHGG West Quick edit Valid 2013-05-30 34UHGG
34UHGH Wollaston Quick edit Valid 2013-05-30 34UHGH
36UBGB Aire Valley with Lothersdale Quick edit Valid 2013-05-30 36UBGB
36UBGC Barden Fell Quick edit Valid 2013-05-30 36UBGC
36UBGD Bentham Quick edit Valid 2013-05-30 36UBGD
36UBGE Cowling Quick edit Valid 2013-05-30 36UBGE
36UBGF Embsay-with-Eastby Quick edit Valid 2013-05-30 36UBGF
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?