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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 7,821 to 7,840.First388389390391392393394395Last
Id Label Status Status Modified Notation
32UGHY Witham Valley Quick edit Valid 2013-05-30 32UGHY
32UHGD Bardney Quick edit Valid 2013-05-30 32UHGD
32UHGE Caistor Quick edit Valid 2013-05-30 32UHGE
32UHGF Cherry Willingham Quick edit Valid 2013-05-30 32UHGF
32UHGG Dunholme Quick edit Valid 2013-05-30 32UHGG
32UHGH Fiskerton Quick edit Valid 2013-05-30 32UHGH
32UHGJ Gainsborough East Quick edit Valid 2013-05-30 32UHGJ
32UHGK Gainsborough North Quick edit Valid 2013-05-30 32UHGK
32UHGL Gainsborough South-West Quick edit Valid 2013-05-30 32UHGL
32UHGM Hemswell Quick edit Valid 2013-05-30 32UHGM
32UHGN Kelsey Quick edit Valid 2013-05-30 32UHGN
32UHGP Lea Quick edit Valid 2013-05-30 32UHGP
32UHGQ Market Rasen Quick edit Valid 2013-05-30 32UHGQ
32UHGR Middle Rasen Quick edit Valid 2013-05-30 32UHGR
32UHGS Nettleham Quick edit Valid 2013-05-30 32UHGS
32UHGT Saxilby Quick edit Valid 2013-05-30 32UHGT
32UHGU Scampton Quick edit Valid 2013-05-30 32UHGU
32UHGW Scotter Quick edit Valid 2013-05-30 32UHGW
32UHGX Stow Quick edit Valid 2013-05-30 32UHGX
32UHGY Sudbrooke Quick edit Valid 2013-05-30 32UHGY
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?