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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 181 to 200.First678910111213Last
Id Label Status Status Modified Notation
00AJGP Lady Margaret Quick edit Valid 2013-05-30 00AJGP
00AJGQ Northfield Quick edit Valid 2013-05-30 00AJGQ
00AJGR North Greenford Quick edit Valid 2013-05-30 00AJGR
00AJGS Northolt Mandeville Quick edit Valid 2013-05-30 00AJGS
00AJGT Northolt West End Quick edit Valid 2013-05-30 00AJGT
00AJGU Norwood Green Quick edit Valid 2013-05-30 00AJGU
00AJGW Perivale Quick edit Valid 2013-05-30 00AJGW
00AJGX South Acton Quick edit Valid 2013-05-30 00AJGX
00AJGY Southall Broadway Quick edit Valid 2013-05-30 00AJGY
00AJGZ Southall Green Quick edit Valid 2013-05-30 00AJGZ
00AJHA Southfield Quick edit Valid 2013-05-30 00AJHA
00AJHB Walpole Quick edit Valid 2013-05-30 00AJHB
00AKGL Bowes Quick edit Valid 2013-05-30 00AKGL
00AKGM Bush Hill Park Quick edit Valid 2013-05-30 00AKGM
00AKGN Chase Quick edit Valid 2013-05-30 00AKGN
00AKGP Cockfosters Quick edit Valid 2013-05-30 00AKGP
00AKGQ Edmonton Green Quick edit Valid 2013-05-30 00AKGQ
00AKGR Enfield Highway Quick edit Valid 2013-05-30 00AKGR
00AKGS Enfield Lock Quick edit Valid 2013-05-30 00AKGS
00AKGT Grange Quick edit Valid 2013-05-30 00AKGT
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?