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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
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 8,081 to 8,100.First401402403404405406407408Last
Id Label Status Status Modified Notation
34UCGT Long Buckby Quick edit Valid 2013-05-30 34UCGT
34UCGU Moulton Quick edit Valid 2013-05-30 34UCGU
34UCGW Ravensthorpe Quick edit Valid 2013-05-30 34UCGW
34UCGX Spratton Quick edit Valid 2013-05-30 34UCGX
34UCGY Walgrave Quick edit Valid 2013-05-30 34UCGY
34UCGZ Weedon Quick edit Valid 2013-05-30 34UCGZ
34UCHA Welford Quick edit Valid 2013-05-30 34UCHA
34UCHB West Haddon and Guilsborough Quick edit Valid 2013-05-30 34UCHB
34UCHC Woodford Quick edit Valid 2013-05-30 34UCHC
34UCHD Yelvertoft Quick edit Valid 2013-05-30 34UCHD
34UDGT Barnwell Quick edit Valid 2013-05-30 34UDGT
34UDGU Fineshade Quick edit Valid 2013-05-30 34UDGU
34UDGW Higham Ferrers Chichele Quick edit Valid 2013-05-30 34UDGW
34UDGX Higham Ferrers Lancaster Quick edit Valid 2013-05-30 34UDGX
34UDGY Irthlingborough John Pyel Quick edit Valid 2013-05-30 34UDGY
34UDGZ Irthlingborough Waterloo Quick edit Valid 2013-05-30 34UDGZ
34UDHA King's Forest Quick edit Valid 2013-05-30 34UDHA
34UDHB Lower Nene Quick edit Valid 2013-05-30 34UDHB
34UDHC Lyveden Quick edit Valid 2013-05-30 34UDHC
34UDHD Oundle Quick edit Valid 2013-05-30 34UDHD
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?