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 8,421 to 8,440.First418419420421422423424425Last
Id Label Status Status Modified Notation
37UDGL Eastwood South Quick edit Valid 2013-05-30 37UDGL
37UDGM Greasley (Giltbrook and Newthorpe) Quick edit Valid 2013-05-30 37UDGM
37UDGN Nuthall East and Strelley Quick edit Valid 2013-05-30 37UDGN
37UDGP Nuthall West and Greasley (Watnall) Quick edit Valid 2013-05-30 37UDGP
37UDGQ Stapleford North Quick edit Valid 2013-05-30 37UDGQ
37UDGR Stapleford South East Quick edit Valid 2013-05-30 37UDGR
37UDGS Stapleford South West Quick edit Valid 2013-05-30 37UDGS
37UDGT Toton and Chilwell Meadows Quick edit Valid 2013-05-30 37UDGT
37UDGU Trowell Quick edit Valid 2013-05-30 37UDGU
37UEGB Bestwood Village Quick edit Valid 2013-05-30 37UEGB
37UEGC Bonington Quick edit Valid 2013-05-30 37UEGC
37UEGD Burton Joyce and Stoke Bardolph Quick edit Valid 2013-05-30 37UEGD
37UEGE Calverton Quick edit Valid 2013-05-30 37UEGE
37UEGF Carlton Quick edit Valid 2013-05-30 37UEGF
37UEGG Carlton Hill Quick edit Valid 2013-05-30 37UEGG
37UEGH Daybrook Quick edit Valid 2013-05-30 37UEGH
37UEGJ Gedling Quick edit Valid 2013-05-30 37UEGJ
37UEGK Killisick Quick edit Valid 2013-05-30 37UEGK
37UEGL Kingswell Quick edit Valid 2013-05-30 37UEGL
37UEGM Lambley Quick edit Valid 2013-05-30 37UEGM
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?