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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 7,181 to 7,200.First356357358359360361362363Last
Id Label Status Status Modified Notation
29ULHA Tolsford Quick edit Valid 2013-05-30 29ULHA
29UMGC Abbey Quick edit Valid 2013-05-30 29UMGC
29UMGD Borden Quick edit Valid 2013-05-30 29UMGD
29UMGE Boughton and Courtenay Quick edit Valid 2013-05-30 29UMGE
29UMGF Chalkwell Quick edit Valid 2013-05-30 29UMGF
29UMGG Davington Priory Quick edit Valid 2013-05-30 29UMGG
29UMGH East Downs Quick edit Valid 2013-05-30 29UMGH
29UMGJ Grove Quick edit Valid 2013-05-30 29UMGJ
29UMGK Hartlip, Newington and Upchurch Quick edit Valid 2013-05-30 29UMGK
29UMGL Iwade and Lower Halstow Quick edit Valid 2013-05-30 29UMGL
29UMGM Kemsley Quick edit Valid 2013-05-30 29UMGM
29UMGN Leysdown and Warden Quick edit Valid 2013-05-30 29UMGN
29UMGP Milton Regis Quick edit Valid 2013-05-30 29UMGP
29UMGQ Minster Cliffs Quick edit Valid 2013-05-30 29UMGQ
29UMGR Murston Quick edit Valid 2013-05-30 29UMGR
29UMGS Queenborough and Halfway Quick edit Valid 2013-05-30 29UMGS
29UMGT Roman Quick edit Valid 2013-05-30 29UMGT
29UMGU St Ann's Quick edit Valid 2013-05-30 29UMGU
29UMGW St Michaels Quick edit Valid 2013-05-30 29UMGW
29UMGX Sheerness East Quick edit Valid 2013-05-30 29UMGX
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?