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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 5,521 to 5,540.First273274275276277278279280Last
Id Label Status Status Modified Notation
16UGLE Kendal Underley Quick edit Valid 2013-05-30 16UGLE
16UGLF Levens Quick edit Valid 2013-05-30 16UGLF
16UGLG Low Furness Quick edit Valid 2013-05-30 16UGLG
16UGLH Lyth Valley Quick edit Valid 2013-05-30 16UGLH
16UGLJ Mid Furness Quick edit Valid 2013-05-30 16UGLJ
16UGLK Milnthorpe Quick edit Valid 2013-05-30 16UGLK
16UGLL Sedbergh and Kirkby Lonsdale Quick edit Valid 2013-05-30 16UGLL
16UGLM Staveley-in-Cartmel Quick edit Valid 2013-05-30 16UGLM
16UGLN Staveley-in-Westmorland Quick edit Valid 2013-05-30 16UGLN
16UGLP Ulverston Central Quick edit Valid 2013-05-30 16UGLP
16UGLQ Ulverston East Quick edit Valid 2013-05-30 16UGLQ
16UGLR Ulverston North Quick edit Valid 2013-05-30 16UGLR
16UGLS Ulverston South Quick edit Valid 2013-05-30 16UGLS
16UGLT Ulverston Town Quick edit Valid 2013-05-30 16UGLT
16UGLU Ulverston West Quick edit Valid 2013-05-30 16UGLU
16UGLW Whinfell Quick edit Valid 2013-05-30 16UGLW
16UGLX Windermere Applethwaite and Troutbeck Quick edit Valid 2013-05-30 16UGLX
16UGLY Windermere Bowness North Quick edit Valid 2013-05-30 16UGLY
16UGLZ Windermere Bowness South Quick edit Valid 2013-05-30 16UGLZ
16UGMA Windermere Town Quick edit Valid 2013-05-30 16UGMA
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?