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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 6,001 to 6,020.First297298299300301302303304Last
Id Label Status Status Modified Notation
19UHGU Bridport North Quick edit Valid 2013-05-30 19UHGU
19UHGW Bridport South and Bothenhampton Quick edit Valid 2013-05-30 19UHGW
19UHGX Broadmayne Quick edit Valid 2013-05-30 19UHGX
19UHGY Broadwindsor Quick edit Valid 2013-05-30 19UHGY
19UHGZ Burton Bradstock Quick edit Valid 2013-05-30 19UHGZ
19UHHA Cam Vale Quick edit Valid 2013-05-30 19UHHA
19UHHB Charminster and Cerne Valley Quick edit Valid 2013-05-30 19UHHB
19UHHC Charmouth Quick edit Valid 2013-05-30 19UHHC
19UHHD Chesil Bank Quick edit Valid 2013-05-30 19UHHD
19UHHE Chickerell Quick edit Valid 2013-05-30 19UHHE
19UHHF Chideock and Symondsbury Quick edit Valid 2013-05-30 19UHHF
19UHHG Dorchester East Quick edit Valid 2013-05-30 19UHHG
19UHHH Dorchester North Quick edit Valid 2013-05-30 19UHHH
19UHHJ Dorchester South Quick edit Valid 2013-05-30 19UHHJ
19UHHK Dorchester West Quick edit Valid 2013-05-30 19UHHK
19UHHL Frome Valley Quick edit Valid 2013-05-30 19UHHL
19UHHM Halstock Quick edit Valid 2013-05-30 19UHHM
19UHHN Loders Quick edit Valid 2013-05-30 19UHHN
19UHHP Lyme Regis Quick edit Valid 2013-05-30 19UHHP
19UHHQ Maiden Newton Quick edit Valid 2013-05-30 19UHHQ
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?