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Eionet
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 3,681 to 3,700.First181182183184185186187188Last
Id Label Status Status Modified Notation
UKC11 Hartlepool and Stockton-on-Tees Quick edit Valid 2013-09-25 UKC11
UKC12 South Teesside Quick edit Valid 2013-09-25 UKC12
UKC13 Darlington Quick edit Valid 2013-09-25 UKC13
UKC14 Durham CC Quick edit Valid 2013-09-25 UKC14
UKC2 Northumberland and Tyne and Wear Quick edit Valid 2013-09-25 UKC2
UKC21 Northumberland Quick edit Valid 2013-09-25 UKC21
UKC22 Tyneside Quick edit Valid 2013-09-25 UKC22
UKC23 Sunderland Quick edit Valid 2013-09-25 UKC23
UKD North West (UK) Quick edit Valid 2013-09-25 UKD
UKD1 Cumbria Quick edit Valid 2013-09-25 UKD1
UKD11 West Cumbria Quick edit Valid 2013-09-25 UKD11
UKD12 East Cumbria Quick edit Valid 2013-09-25 UKD12
UKD2 Cheshire (NUTS 2006) Quick edit Valid 2013-09-25 UKD2
UKD21 Halton and Warrington (NUTS 2006) Quick edit Valid 2013-09-25 UKD21
UKD22 Cheshire CC (NUTS 2006) Quick edit Valid 2013-09-25 UKD22
UKD3 Greater Manchester Quick edit Valid 2013-09-25 UKD3
UKD3-D5 Greater Manchester, Lancashire, Merseyside (NUTS 2006) Quick edit Valid 2013-09-25 UKD3-D5
UKD31 Greater Manchester South (NUTS 2010) Quick edit Valid 2013-09-25 UKD31
UKD32 Greater Manchester North (NUTS 2010) Quick edit Valid 2013-09-25 UKD32
UKD33 Manchester Quick edit Valid 2015-01-08 UKD33
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?