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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 281 to 300.First1112131415161718Last
Id Label Status Status Modified Notation
00APGR Tottenham Hale Quick edit Valid 2013-05-30 00APGR
00APGS West Green Quick edit Valid 2013-05-30 00APGS
00APGT White Hart Lane Quick edit Valid 2013-05-30 00APGT
00APGU Woodside Quick edit Valid 2013-05-30 00APGU
00AQFY Belmont Quick edit Valid 2013-05-30 00AQFY
00AQFZ Canons Quick edit Valid 2013-05-30 00AQFZ
00AQGA Edgware Quick edit Valid 2013-05-30 00AQGA
00AQGB Greenhill Quick edit Valid 2013-05-30 00AQGB
00AQGC Harrow on the Hill Quick edit Valid 2013-05-30 00AQGC
00AQGD Harrow Weald Quick edit Valid 2013-05-30 00AQGD
00AQGE Hatch End Quick edit Valid 2013-05-30 00AQGE
00AQGF Headstone North Quick edit Valid 2013-05-30 00AQGF
00AQGG Headstone South Quick edit Valid 2013-05-30 00AQGG
00AQGH Kenton East Quick edit Valid 2013-05-30 00AQGH
00AQGJ Kenton West Quick edit Valid 2013-05-30 00AQGJ
00AQGK Marlborough Quick edit Valid 2013-05-30 00AQGK
00AQGL Pinner Quick edit Valid 2013-05-30 00AQGL
00AQGM Pinner South Quick edit Valid 2013-05-30 00AQGM
00AQGN Queensbury Quick edit Valid 2013-05-30 00AQGN
00AQGP Rayners Lane Quick edit Valid 2013-05-30 00AQGP
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?