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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 8,061 to 8,080.First400401402403404405406407Last
Id Label Status Status Modified Notation
34UBGM Rowlett Quick edit Valid 2013-05-30 34UBGM
34UBGN Rural West Quick edit Valid 2013-05-30 34UBGN
34UBGP Shire Lodge Quick edit Valid 2013-05-30 34UBGP
34UBGQ Stanion and Corby Village Quick edit Valid 2013-05-30 34UBGQ
34UBGR Tower Hill Quick edit Valid 2013-05-30 34UBGR
34UBGS Weldon and Gretton Quick edit Valid 2013-05-30 34UBGS
34UCGD Abbey North Quick edit Valid 2013-05-30 34UCGD
34UCGE Abbey South Quick edit Valid 2013-05-30 34UCGE
34UCGF Badby Quick edit Valid 2013-05-30 34UCGF
34UCGG Barby and Kilsby Quick edit Valid 2013-05-30 34UCGG
34UCGH Boughton and Pitsford Quick edit Valid 2013-05-30 34UCGH
34UCGJ Brampton Quick edit Valid 2013-05-30 34UCGJ
34UCGK Braunston Quick edit Valid 2013-05-30 34UCGK
34UCGL Brixworth Quick edit Valid 2013-05-30 34UCGL
34UCGM Byfield Quick edit Valid 2013-05-30 34UCGM
34UCGN Clipston Quick edit Valid 2013-05-30 34UCGN
34UCGP Crick Quick edit Valid 2013-05-30 34UCGP
34UCGQ Drayton Quick edit Valid 2013-05-30 34UCGQ
34UCGR Flore Quick edit Valid 2013-05-30 34UCGR
34UCGS Hill Quick edit Valid 2013-05-30 34UCGS
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?