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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 8,301 to 8,320.First412413414415416417418419Last
Id Label Status Status Modified Notation
36UEHB Richmond West Quick edit Valid 2013-05-30 36UEHB
36UEHC Scotton Quick edit Valid 2013-05-30 36UEHC
36UEHD Swaledale Quick edit Valid 2013-05-30 36UEHD
36UFGF Amotherby Quick edit Valid 2013-05-30 36UFGF
36UFGG Ampleforth Quick edit Valid 2013-05-30 36UFGG
36UFGH Cropton Quick edit Valid 2013-05-30 36UFGH
36UFGJ Dales Quick edit Valid 2013-05-30 36UFGJ
36UFGK Derwent Quick edit Valid 2013-05-30 36UFGK
36UFGL Helmsley Quick edit Valid 2013-05-30 36UFGL
36UFGM Hovingham Quick edit Valid 2013-05-30 36UFGM
36UFGN Kirkbymoorside Quick edit Valid 2013-05-30 36UFGN
36UFGP Malton Quick edit Valid 2013-05-30 36UFGP
36UFGQ Norton East Quick edit Valid 2013-05-30 36UFGQ
36UFGR Norton West Quick edit Valid 2013-05-30 36UFGR
36UFGS Pickering East Quick edit Valid 2013-05-30 36UFGS
36UFGT Pickering West Quick edit Valid 2013-05-30 36UFGT
36UFGU Rillington Quick edit Valid 2013-05-30 36UFGU
36UFGW Ryedale South West Quick edit Valid 2013-05-30 36UFGW
36UFGX Sherburn Quick edit Valid 2013-05-30 36UFGX
36UFGY Sheriff Hutton Quick edit Valid 2013-05-30 36UFGY
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?