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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 7,641 to 7,660.First379380381382383384385386Last
Id Label Status Status Modified Notation
31UHGD Bardon Quick edit Valid 2013-05-30 31UHGD
31UHGE Breedon Quick edit Valid 2013-05-30 31UHGE
31UHGF Castle Donington Quick edit Valid 2013-05-30 31UHGF
31UHGG Coalville Quick edit Valid 2013-05-30 31UHGG
31UHGH Greenhill Quick edit Valid 2013-05-30 31UHGH
31UHGJ Hugglescote Quick edit Valid 2013-05-30 31UHGJ
31UHGK Ibstock and Heather Quick edit Valid 2013-05-30 31UHGK
31UHGL Kegworth and Whatton Quick edit Valid 2013-05-30 31UHGL
31UHGM Measham Quick edit Valid 2013-05-30 31UHGM
31UHGN Moira Quick edit Valid 2013-05-30 31UHGN
31UHGP Oakthorpe and Donisthorpe Quick edit Valid 2013-05-30 31UHGP
31UHGQ Ravenstone and Packington Quick edit Valid 2013-05-30 31UHGQ
31UHGR Snibston Quick edit Valid 2013-05-30 31UHGR
31UHGS Thringstone Quick edit Valid 2013-05-30 31UHGS
31UHGT Valley Quick edit Valid 2013-05-30 31UHGT
31UHGU Whitwick Quick edit Valid 2013-05-30 31UHGU
31UJFL Oadby Brocks Hill Quick edit Valid 2013-05-30 31UJFL
31UJFM Oadby Grange Quick edit Valid 2013-05-30 31UJFM
31UJFN Oadby St Peter's Quick edit Valid 2013-05-30 31UJFN
31UJFP Oadby Uplands Quick edit Valid 2013-05-30 31UJFP
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?