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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 661 to 680.First3031323334353637Last
Id Label Status Status Modified Notation
00BLGJ Horwich North East Quick edit Valid 2013-05-30 00BLGJ
00BLGK Hulton Quick edit Valid 2013-05-30 00BLGK
00BLGL Kearsley Quick edit Valid 2013-05-30 00BLGL
00BLGM Little Lever and Darcy Lever Quick edit Valid 2013-05-30 00BLGM
00BLGN Rumworth Quick edit Valid 2013-05-30 00BLGN
00BLGP Smithills Quick edit Valid 2013-05-30 00BLGP
00BLGQ Tonge with the Haulgh Quick edit Valid 2013-05-30 00BLGQ
00BLGR Westhoughton North and Chew Moor Quick edit Valid 2013-05-30 00BLGR
00BLGS Westhoughton South Quick edit Valid 2013-05-30 00BLGS
00BMFS Besses Quick edit Valid 2013-05-30 00BMFS
00BMFT Church Quick edit Valid 2013-05-30 00BMFT
00BMFU East Quick edit Valid 2013-05-30 00BMFU
00BMFW Elton Quick edit Valid 2013-05-30 00BMFW
00BMFX Holyrood Quick edit Valid 2013-05-30 00BMFX
00BMFY Moorside Quick edit Valid 2013-05-30 00BMFY
00BMFZ North Manor Quick edit Valid 2013-05-30 00BMFZ
00BMGA Pilkington Park Quick edit Valid 2013-05-30 00BMGA
00BMGB Radcliffe East Quick edit Valid 2013-05-30 00BMGB
00BMGC Radcliffe North Quick edit Valid 2013-05-30 00BMGC
00BMGD Radcliffe West Quick edit Valid 2013-05-30 00BMGD
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?