You are here:
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 361 to 380.First1516171819202122Last
Id Label Status Status Modified Notation
00ATGP Hounslow West Quick edit Valid 2013-05-30 00ATGP
00ATGQ Isleworth Quick edit Valid 2013-05-30 00ATGQ
00ATGR Osterley and Spring Grove Quick edit Valid 2013-05-30 00ATGR
00ATGS Syon Quick edit Valid 2013-05-30 00ATGS
00ATGT Turnham Green Quick edit Valid 2013-05-30 00ATGT
00AUFX Barnsbury Quick edit Valid 2013-05-30 00AUFX
00AUFY Bunhill Quick edit Valid 2013-05-30 00AUFY
00AUFZ Caledonian Quick edit Valid 2013-05-30 00AUFZ
00AUGA Canonbury Quick edit Valid 2013-05-30 00AUGA
00AUGB Clerkenwell Quick edit Valid 2013-05-30 00AUGB
00AUGC Finsbury Park Quick edit Valid 2013-05-30 00AUGC
00AUGD Highbury East Quick edit Valid 2013-05-30 00AUGD
00AUGE Highbury West Quick edit Valid 2013-05-30 00AUGE
00AUGF Hillrise Quick edit Valid 2013-05-30 00AUGF
00AUGG Holloway Quick edit Valid 2013-05-30 00AUGG
00AUGH Junction Quick edit Valid 2013-05-30 00AUGH
00AUGJ Mildmay Quick edit Valid 2013-05-30 00AUGJ
00AUGK St George's Quick edit Valid 2013-05-30 00AUGK
00AUGL St Mary's Quick edit Valid 2013-05-30 00AUGL
00AUGM St Peter's Quick edit Valid 2013-05-30 00AUGM
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?