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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 721 to 740.First3334353637383940Last
Id Label Status Status Modified Notation
00BPFZ Chadderton North Quick edit Valid 2013-05-30 00BPFZ
00BPGA Chadderton South Quick edit Valid 2013-05-30 00BPGA
00BPGB Coldhurst Quick edit Valid 2013-05-30 00BPGB
00BPGC Crompton Quick edit Valid 2013-05-30 00BPGC
00BPGD Failsworth East Quick edit Valid 2013-05-30 00BPGD
00BPGE Failsworth West Quick edit Valid 2013-05-30 00BPGE
00BPGF Hollinwood Quick edit Valid 2013-05-30 00BPGF
00BPGG Medlock Vale Quick edit Valid 2013-05-30 00BPGG
00BPGH Royton North Quick edit Valid 2013-05-30 00BPGH
00BPGJ Royton South Quick edit Valid 2013-05-30 00BPGJ
00BPGK Saddleworth North Quick edit Valid 2013-05-30 00BPGK
00BPGL Saddleworth South Quick edit Valid 2013-05-30 00BPGL
00BPGM Saddleworth West and Lees Quick edit Valid 2013-05-30 00BPGM
00BPGN St James' Quick edit Valid 2013-05-30 00BPGN
00BPGP St Mary's Quick edit Valid 2013-05-30 00BPGP
00BPGQ Shaw Quick edit Valid 2013-05-30 00BPGQ
00BPGR Waterhead Quick edit Valid 2013-05-30 00BPGR
00BPGS Werneth Quick edit Valid 2013-05-30 00BPGS
00BQFX Balderstone and Kirkholt Quick edit Valid 2013-05-30 00BQFX
00BQFY Bamford Quick edit Valid 2013-05-30 00BQFY
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?