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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 581 to 600.First2627282930313233Last
Id Label Status Status Modified Notation
00BGGE Mile End and Globe Town Quick edit Valid 2013-05-30 00BGGE
00BGGF Mile End East Quick edit Valid 2013-05-30 00BGGF
00BGGG Millwall Quick edit Valid 2013-05-30 00BGGG
00BGGH St Dunstan's and Stepney Green Quick edit Valid 2013-05-30 00BGGH
00BGGJ St Katharine's and Wapping Quick edit Valid 2013-05-30 00BGGJ
00BGGK Shadwell Quick edit Valid 2013-05-30 00BGGK
00BGGL Spitalfields and Banglatown Quick edit Valid 2013-05-30 00BGGL
00BGGM Weavers Quick edit Valid 2013-05-30 00BGGM
00BGGN Whitechapel Quick edit Valid 2013-05-30 00BGGN
00BHFX Cann Hall Quick edit Valid 2013-05-30 00BHFX
00BHFY Cathall Quick edit Valid 2013-05-30 00BHFY
00BHFZ Chapel End Quick edit Valid 2013-05-30 00BHFZ
00BHGA Chingford Green Quick edit Valid 2013-05-30 00BHGA
00BHGB Endlebury Quick edit Valid 2013-05-30 00BHGB
00BHGC Forest Quick edit Valid 2013-05-30 00BHGC
00BHGD Grove Green Quick edit Valid 2013-05-30 00BHGD
00BHGE Hale End and Highams Park Quick edit Valid 2013-05-30 00BHGE
00BHGF Hatch Lane Quick edit Valid 2013-05-30 00BHGF
00BHGG High Street Quick edit Valid 2013-05-30 00BHGG
00BHGH Higham Hill Quick edit Valid 2013-05-30 00BHGH
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?