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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 9,161 to 9,180.First455456457458459460461462Last
Id Label Status Status Modified Notation
43UBGJ Molesey North Quick edit Valid 2013-05-30 43UBGJ
43UBGK Molesey South Quick edit Valid 2013-05-30 43UBGK
43UBGL Oatlands Park Quick edit Valid 2013-05-30 43UBGL
43UBGM Oxshott and Stoke D'Abernon Quick edit Valid 2013-05-30 43UBGM
43UBGN St George's Hill Quick edit Valid 2013-05-30 43UBGN
43UBGP Thames Ditton Quick edit Valid 2013-05-30 43UBGP
43UBGQ Walton Ambleside Quick edit Valid 2013-05-30 43UBGQ
43UBGR Walton Central Quick edit Valid 2013-05-30 43UBGR
43UBGS Walton North Quick edit Valid 2013-05-30 43UBGS
43UBGT Walton South Quick edit Valid 2013-05-30 43UBGT
43UBGU Weston Green Quick edit Valid 2013-05-30 43UBGU
43UBGW Weybridge North Quick edit Valid 2013-05-30 43UBGW
43UBGX Weybridge South Quick edit Valid 2013-05-30 43UBGX
43UCFP Auriol Quick edit Valid 2013-05-30 43UCFP
43UCFQ College Quick edit Valid 2013-05-30 43UCFQ
43UCFR Court Quick edit Valid 2013-05-30 43UCFR
43UCFS Cuddington Quick edit Valid 2013-05-30 43UCFS
43UCFT Ewell Quick edit Valid 2013-05-30 43UCFT
43UCFU Ewell Court Quick edit Valid 2013-05-30 43UCFU
43UCFW Nonsuch Quick edit Valid 2013-05-30 43UCFW
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?