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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 8,381 to 8,400.First416417418419420421422423Last
Id Label Status Status Modified Notation
37UBGE Sutton in Ashfield West Quick edit Valid 2013-05-30 37UBGE
37UBGF Underwood Quick edit Valid 2013-05-30 37UBGF
37UBGG Woodhouse Quick edit Valid 2013-05-30 37UBGG
37UCGE Beckingham Quick edit Valid 2013-05-30 37UCGE
37UCGF Blyth Quick edit Valid 2013-05-30 37UCGF
37UCGG Carlton Quick edit Valid 2013-05-30 37UCGG
37UCGH Clayworth Quick edit Valid 2013-05-30 37UCGH
37UCGJ East Markham Quick edit Valid 2013-05-30 37UCGJ
37UCGK East Retford East Quick edit Valid 2013-05-30 37UCGK
37UCGL East Retford North Quick edit Valid 2013-05-30 37UCGL
37UCGM East Retford South Quick edit Valid 2013-05-30 37UCGM
37UCGN East Retford West Quick edit Valid 2013-05-30 37UCGN
37UCGP Everton Quick edit Valid 2013-05-30 37UCGP
37UCGQ Harworth Quick edit Valid 2013-05-30 37UCGQ
37UCGR Langold Quick edit Valid 2013-05-30 37UCGR
37UCGS Misterton Quick edit Valid 2013-05-30 37UCGS
37UCGT Rampton Quick edit Valid 2013-05-30 37UCGT
37UCGU Ranskill Quick edit Valid 2013-05-30 37UCGU
37UCGW Sturton Quick edit Valid 2013-05-30 37UCGW
37UCGX Sutton Quick edit Valid 2013-05-30 37UCGX
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?