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 5,841 to 5,860.First289290291292293294295296Last
Id Label Status Status Modified Notation
18UGHJ Skerries Quick edit Valid 2013-05-30 18UGHJ
18UGHK South Brent Quick edit Valid 2013-05-30 18UGHK
18UGHL Stokenham Quick edit Valid 2013-05-30 18UGHL
18UGHM Thurlestone Quick edit Valid 2013-05-30 18UGHM
18UGHN Totnes Bridgetown Quick edit Valid 2013-05-30 18UGHN
18UGHP Totnes Town Quick edit Valid 2013-05-30 18UGHP
18UGHQ Wembury and Brixton Quick edit Valid 2013-05-30 18UGHQ
18UGHR West Dart Quick edit Valid 2013-05-30 18UGHR
18UGHS Westville and Alvington Quick edit Valid 2013-05-30 18UGHS
18UGHT Yealmpton Quick edit Valid 2013-05-30 18UGHT
18UHGL Ambrook Quick edit Valid 2013-05-30 18UHGL
18UHGM Ashburton and Buckfastleigh Quick edit Valid 2013-05-30 18UHGM
18UHGN Bishopsteignton Quick edit Valid 2013-05-30 18UHGN
18UHGP Bovey Quick edit Valid 2013-05-30 18UHGP
18UHGQ Bradley Quick edit Valid 2013-05-30 18UHGQ
18UHGR Buckland and Milber Quick edit Valid 2013-05-30 18UHGR
18UHGS Bushell Quick edit Valid 2013-05-30 18UHGS
18UHGT Chudleigh Quick edit Valid 2013-05-30 18UHGT
18UHGU College Quick edit Valid 2013-05-30 18UHGU
18UHGW Dawlish Central and North East Quick edit Valid 2013-05-30 18UHGW
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?