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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 901 to 920.First4243444546474849Last
Id Label Status Status Modified Notation
00BYHC Knotty Ash Quick edit Valid 2013-05-30 00BYHC
00BYHD Mossley Hill Quick edit Valid 2013-05-30 00BYHD
00BYHE Norris Green Quick edit Valid 2013-05-30 00BYHE
00BYHF Old Swan Quick edit Valid 2013-05-30 00BYHF
00BYHG Picton Quick edit Valid 2013-05-30 00BYHG
00BYHH Princes Park Quick edit Valid 2013-05-30 00BYHH
00BYHJ Riverside Quick edit Valid 2013-05-30 00BYHJ
00BYHK St Michael's Quick edit Valid 2013-05-30 00BYHK
00BYHL Speke-Garston Quick edit Valid 2013-05-30 00BYHL
00BYHM Tuebrook and Stoneycroft Quick edit Valid 2013-05-30 00BYHM
00BYHN Warbreck Quick edit Valid 2013-05-30 00BYHN
00BYHP Wavertree Quick edit Valid 2013-05-30 00BYHP
00BYHQ West Derby Quick edit Valid 2013-05-30 00BYHQ
00BYHR Woolton Quick edit Valid 2013-05-30 00BYHR
00BYHS Yew Tree Quick edit Valid 2013-05-30 00BYHS
00BZFU Billinge and Seneley Green Quick edit Valid 2013-05-30 00BZFU
00BZFW Blackbrook Quick edit Valid 2013-05-30 00BZFW
00BZFX Bold Quick edit Valid 2013-05-30 00BZFX
00BZFY Earlestown Quick edit Valid 2013-05-30 00BZFY
00BZFZ Eccleston Quick edit Valid 2013-05-30 00BZFZ
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?