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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 3,581 to 3,600.First176177178179180181182183Last
Id Label Status Status Modified Notation
UG_CAP Kampala Quick edit Valid 2013-09-25 UG_CAP
UK United Kingdom Quick edit Valid 2013-09-25 UK
UK1 North (NUTS 1995) Quick edit Valid 2013-09-25 UK1
UK11 Cleveland, Durham (NUTS 1995) Quick edit Valid 2013-09-25 UK11
UK111 Cleveland (NUTS 1995) Quick edit Valid 2013-09-25 UK111
UK112 Durham (NUTS 1995) Quick edit Valid 2013-09-25 UK112
UK12 Cumbria (NUTS 1995) Quick edit Valid 2013-09-25 UK12
UK13 Northumberland,Tyne and Wear (NUTS 1995) Quick edit Valid 2013-09-25 UK13
UK131 Northumberland (NUTS 1995) Quick edit Valid 2013-09-25 UK131
UK132 Tyne and Wear (NUTS 1995) Quick edit Valid 2013-09-25 UK132
UK2 Yorkshire and Humberside (NUTS 1995) Quick edit Valid 2013-09-25 UK2
UK21 Humberside (NUTS 1995) Quick edit Valid 2013-09-25 UK21
UK22 North Yorkshire (NUTS 1995) Quick edit Valid 2013-09-25 UK22
UK23 South Yorkshire (NUTS 1995) Quick edit Valid 2013-09-25 UK23
UK24 West Yorkshire (NUTS 1995) Quick edit Valid 2013-09-25 UK24
UK3 East Midlands (NUTS 1995) Quick edit Valid 2013-09-25 UK3
UK31 Derbyshire, Nottinghamshire (NUTS 1995) Quick edit Valid 2013-09-25 UK31
UK311 Derbyshire (NUTS 1995) Quick edit Valid 2013-09-25 UK311
UK312 Nottinghamshire (NUTS 1995) Quick edit Valid 2013-09-25 UK312
UK32 Leicestershire, Northamptonshire (NUTS 1995) Quick edit Valid 2013-09-25 UK32
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?