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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 7,661 to 7,680.First380381382383384385386387Last
Id Label Status Status Modified Notation
31UJFQ Oadby Woodlands Quick edit Valid 2013-05-30 31UJFQ
31UJFR South Wigston Quick edit Valid 2013-05-30 31UJFR
31UJFS Wigston All Saints Quick edit Valid 2013-05-30 31UJFS
31UJFT Wigston Fields Quick edit Valid 2013-05-30 31UJFT
31UJFU Wigston Meadowcourt Quick edit Valid 2013-05-30 31UJFU
31UJFW Wigston St Wolstan's Quick edit Valid 2013-05-30 31UJFW
32UBFT Central Quick edit Valid 2013-05-30 32UBFT
32UBFU Coastal Quick edit Valid 2013-05-30 32UBFU
32UBFW Fenside Quick edit Valid 2013-05-30 32UBFW
32UBFX Fishtoft Quick edit Valid 2013-05-30 32UBFX
32UBFY Five Village Quick edit Valid 2013-05-30 32UBFY
32UBFZ Frampton and Holme Quick edit Valid 2013-05-30 32UBFZ
32UBGA Kirton Quick edit Valid 2013-05-30 32UBGA
32UBGB North Quick edit Valid 2013-05-30 32UBGB
32UBGC Old Leake and Wrangle Quick edit Valid 2013-05-30 32UBGC
32UBGD Pilgrim Quick edit Valid 2013-05-30 32UBGD
32UBGE Skirbeck Quick edit Valid 2013-05-30 32UBGE
32UBGF South Quick edit Valid 2013-05-30 32UBGF
32UBGG Staniland South Quick edit Valid 2013-05-30 32UBGG
32UBGH Staniland North Quick edit Valid 2013-05-30 32UBGH
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?