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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 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
00AHGW Selhurst Quick edit Valid 2013-05-30 00AHGW
00AHGX Selsdon and Ballards Quick edit Valid 2013-05-30 00AHGX
00AHGY Shirley Quick edit Valid 2013-05-30 00AHGY
00AHGZ South Norwood Quick edit Valid 2013-05-30 00AHGZ
00AHHA Thornton Heath Quick edit Valid 2013-05-30 00AHHA
00AHHB Upper Norwood Quick edit Valid 2013-05-30 00AHHB
00AHHC Waddon Quick edit Valid 2013-05-30 00AHHC
00AHHD West Thornton Quick edit Valid 2013-05-30 00AHHD
00AHHE Woodside Quick edit Valid 2013-05-30 00AHHE
00AJGC Acton Central Quick edit Valid 2013-05-30 00AJGC
00AJGD Cleveland Quick edit Valid 2013-05-30 00AJGD
00AJGE Dormers Wells Quick edit Valid 2013-05-30 00AJGE
00AJGF Ealing Broadway Quick edit Valid 2013-05-30 00AJGF
00AJGG Ealing Common Quick edit Valid 2013-05-30 00AJGG
00AJGH East Acton Quick edit Valid 2013-05-30 00AJGH
00AJGJ Elthorne Quick edit Valid 2013-05-30 00AJGJ
00AJGK Greenford Broadway Quick edit Valid 2013-05-30 00AJGK
00AJGL Greenford Green Quick edit Valid 2013-05-30 00AJGL
00AJGM Hanger Hill Quick edit Valid 2013-05-30 00AJGM
00AJGN Hobbayne Quick edit Valid 2013-05-30 00AJGN
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?