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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 8,201 to 8,220.First407408409410411412413414Last
Id Label Status Status Modified Notation
36UBGG Gargrave and Malhamdale Quick edit Valid 2013-05-30 36UBGG
36UBGH Glusburn Quick edit Valid 2013-05-30 36UBGH
36UBGJ Grassington Quick edit Valid 2013-05-30 36UBGJ
36UBGK Hellifield and Long Preston Quick edit Valid 2013-05-30 36UBGK
36UBGL Ingleton and Clapham Quick edit Valid 2013-05-30 36UBGL
36UBGM Penyghent Quick edit Valid 2013-05-30 36UBGM
36UBGN Settle and Ribblebanks Quick edit Valid 2013-05-30 36UBGN
36UBGP Skipton East Quick edit Valid 2013-05-30 36UBGP
36UBGQ Skipton North Quick edit Valid 2013-05-30 36UBGQ
36UBGR Skipton South Quick edit Valid 2013-05-30 36UBGR
36UBGS Skipton West Quick edit Valid 2013-05-30 36UBGS
36UBGT Sutton-in-Craven Quick edit Valid 2013-05-30 36UBGT
36UBGU Upper Wharfedale Quick edit Valid 2013-05-30 36UBGU
36UBGW West Craven Quick edit Valid 2013-05-30 36UBGW
36UCGM Bedale Quick edit Valid 2013-05-30 36UCGM
36UCGN Brompton Quick edit Valid 2013-05-30 36UCGN
36UCGP Broughton and Greenhow Quick edit Valid 2013-05-30 36UCGP
36UCGQ Cowtons Quick edit Valid 2013-05-30 36UCGQ
36UCGR Crakehall Quick edit Valid 2013-05-30 36UCGR
36UCGS Easingwold Quick edit Valid 2013-05-30 36UCGS
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?