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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 121 to 140.First345678910Last
Id Label Status Status Modified Notation
00AFGU Mottingham and Chislehurst North Quick edit Valid 2013-05-30 00AFGU
00AFGW Orpington Quick edit Valid 2013-05-30 00AFGW
00AFGX Penge and Cator Quick edit Valid 2013-05-30 00AFGX
00AFGY Petts Wood and Knoll Quick edit Valid 2013-05-30 00AFGY
00AFGZ Plaistow and Sundridge Quick edit Valid 2013-05-30 00AFGZ
00AFHA Shortlands Quick edit Valid 2013-05-30 00AFHA
00AFHB West Wickham Quick edit Valid 2013-05-30 00AFHB
00AGGD Belsize Quick edit Valid 2013-05-30 00AGGD
00AGGE Bloomsbury Quick edit Valid 2013-05-30 00AGGE
00AGGF Camden Town with Primrose Hill Quick edit Valid 2013-05-30 00AGGF
00AGGG Cantelowes Quick edit Valid 2013-05-30 00AGGG
00AGGH Fortune Green Quick edit Valid 2013-05-30 00AGGH
00AGGJ Frognal and Fitzjohns Quick edit Valid 2013-05-30 00AGGJ
00AGGK Gospel Oak Quick edit Valid 2013-05-30 00AGGK
00AGGL Hampstead Town Quick edit Valid 2013-05-30 00AGGL
00AGGM Haverstock Quick edit Valid 2013-05-30 00AGGM
00AGGN Highgate Quick edit Valid 2013-05-30 00AGGN
00AGGP Holborn and Covent Garden Quick edit Valid 2013-05-30 00AGGP
00AGGQ Kentish Town Quick edit Valid 2013-05-30 00AGGQ
00AGGR Kilburn Quick edit Valid 2013-05-30 00AGGR
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?