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 9,421 to 9,440.First468469470471472473474475Last
Id Label Status Status Modified Notation
44UEGY Harbury Quick edit Valid 2013-05-30 44UEGY
44UEGZ Henley Quick edit Valid 2009-01-01 44UEGZ
44UEHA Kineton Quick edit Valid 2009-01-01 44UEHA
44UEHB Kinwarton Quick edit Valid 2009-01-01 44UEHB
44UEHC Long Compton Quick edit Valid 2013-05-30 44UEHC
44UEHD Long Itchington Quick edit Valid 2013-05-30 44UEHD
44UEHE Quinton Quick edit Valid 2013-05-30 44UEHE
44UEHF Sambourne Quick edit Valid 2013-05-30 44UEHF
44UEHG Shipston Quick edit Valid 2013-05-30 44UEHG
44UEHH Snitterfield Quick edit Valid 2009-01-01 44UEHH
44UEHJ Southam Quick edit Valid 2013-05-30 44UEHJ
44UEHK Stockton and Napton Quick edit Valid 2013-05-30 44UEHK
44UEHL Stratford Alveston Quick edit Valid 2013-05-30 44UEHL
44UEHM Stratford Avenue and New Town Quick edit Valid 2013-05-30 44UEHM
44UEHN Stratford Guild and Hathaway Quick edit Valid 2013-05-30 44UEHN
44UEHP Stratford Mount Pleasant Quick edit Valid 2013-05-30 44UEHP
44UEHQ Studley Quick edit Valid 2013-05-30 44UEHQ
44UEHR Tanworth Quick edit Valid 2009-01-01 44UEHR
44UEHS Tredington Quick edit Valid 2013-05-30 44UEHS
44UEHT Vale of the Red Horse Quick edit Valid 2013-05-30 44UEHT
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?