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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 3,721 to 3,740.First183184185186187188189190Last
Id Label Status Status Modified Notation
UKD63 Cheshire West and Chester Quick edit Valid 2013-09-25 UKD63
UKD7 Merseyside Quick edit Valid 2013-09-25 UKD7
UKD71 East Merseyside Quick edit Valid 2013-09-25 UKD71
UKD72 Liverpool Quick edit Valid 2013-09-25 UKD72
UKD73 Sefton Quick edit Valid 2013-09-25 UKD73
UKD74 Wirral Quick edit Valid 2013-09-25 UKD74
UKE Yorkshire and The Humber Quick edit Valid 2013-09-25 UKE
UKE1 East Yorkshire and Northern Lincolnshire Quick edit Valid 2013-09-25 UKE1
UKE11 Kingston upon Hull, City of Quick edit Valid 2013-09-25 UKE11
UKE12 East Riding of Yorkshire Quick edit Valid 2013-09-25 UKE12
UKE13 North and North East Lincolnshire Quick edit Valid 2013-09-25 UKE13
UKE2 North Yorkshire Quick edit Valid 2013-09-25 UKE2
UKE21 York Quick edit Valid 2013-09-25 UKE21
UKE22 North Yorkshire CC Quick edit Valid 2013-09-25 UKE22
UKE3 South Yorkshire Quick edit Valid 2013-09-25 UKE3
UKE31 Barnsley, Doncaster and Rotherham Quick edit Valid 2013-09-25 UKE31
UKE32 Sheffield Quick edit Valid 2013-09-25 UKE32
UKE3_E4 South and West Yorkshire Quick edit Valid 2013-09-25 UKE3_E4
UKE4 West Yorkshire Quick edit Valid 2013-09-25 UKE4
UKE41 Bradford Quick edit Valid 2013-09-25 UKE41
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?