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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 6,421 to 6,440.First318319320321322323324325Last
Id Label Status Status Modified Notation
23UBFY Lansdown Quick edit Valid 2013-05-30 23UBFY
23UBFZ Leckhampton Quick edit Valid 2013-05-30 23UBFZ
23UBGA Oakley Quick edit Valid 2013-05-30 23UBGA
23UBGB Park Quick edit Valid 2013-05-30 23UBGB
23UBGC Pittville Quick edit Valid 2013-05-30 23UBGC
23UBGD Prestbury Quick edit Valid 2013-05-30 23UBGD
23UBGE St Mark's Quick edit Valid 2013-05-30 23UBGE
23UBGF St Paul's Quick edit Valid 2013-05-30 23UBGF
23UBGG St Peter's Quick edit Valid 2013-05-30 23UBGG
23UBGH Springbank Quick edit Valid 2013-05-30 23UBGH
23UBGJ Swindon Village Quick edit Valid 2013-05-30 23UBGJ
23UBGK Up Hatherley Quick edit Valid 2013-05-30 23UBGK
23UBGL Warden Hill Quick edit Valid 2013-05-30 23UBGL
23UCGL Ampney-Coln Quick edit Valid 2013-05-30 23UCGL
23UCGM Avening Quick edit Valid 2013-05-30 23UCGM
23UCGN Beacon-Stow Quick edit Valid 2013-05-30 23UCGN
23UCGP Blockley Quick edit Valid 2013-05-30 23UCGP
23UCGQ Bourton-on-the-Water Quick edit Valid 2013-05-30 23UCGQ
23UCGR Campden-Vale Quick edit Valid 2013-05-30 23UCGR
23UCGS Chedworth Quick edit Valid 2013-05-30 23UCGS
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?