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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 9,361 to 9,380.First465466467468469470471472Last
Id Label Status Status Modified Notation
44UBFZ Atherstone South and Mancetter Quick edit Valid 2013-05-30 44UBFZ
44UBGA Baddesley and Grendon Quick edit Valid 2013-05-30 44UBGA
44UBGB Coleshill North Quick edit Valid 2013-05-30 44UBGB
44UBGC Coleshill South Quick edit Valid 2013-05-30 44UBGC
44UBGD Curdworth Quick edit Valid 2013-05-30 44UBGD
44UBGE Dordon Quick edit Valid 2013-05-30 44UBGE
44UBGF Fillongley Quick edit Valid 2013-05-30 44UBGF
44UBGG Hartshill Quick edit Valid 2013-05-30 44UBGG
44UBGH Hurley and Wood End Quick edit Valid 2013-05-30 44UBGH
44UBGJ Kingsbury Quick edit Valid 2013-05-30 44UBGJ
44UBGK Newton Regis and Warton Quick edit Valid 2013-05-30 44UBGK
44UBGL Polesworth East Quick edit Valid 2013-05-30 44UBGL
44UBGM Polesworth West Quick edit Valid 2013-05-30 44UBGM
44UBGN Water Orton Quick edit Valid 2013-05-30 44UBGN
44UCFR Abbey Quick edit Valid 2013-05-30 44UCFR
44UCFS Arbury Quick edit Valid 2013-05-30 44UCFS
44UCFT Attleborough Quick edit Valid 2013-05-30 44UCFT
44UCFU Bar Pool Quick edit Valid 2013-05-30 44UCFU
44UCFW Bede Quick edit Valid 2013-05-30 44UCFW
44UCFX Bulkington Quick edit Valid 2013-05-30 44UCFX
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?