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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 6,061 to 6,080.First300301302303304305306307Last
Id Label Status Status Modified Notation
21UDFZ Gensing Quick edit Valid 2013-05-30 21UDFZ
21UDGA Hollington Quick edit Valid 2013-05-30 21UDGA
21UDGB Maze Hill Quick edit Valid 2013-05-30 21UDGB
21UDGC Old Hastings Quick edit Valid 2013-05-30 21UDGC
21UDGD Ore Quick edit Valid 2013-05-30 21UDGD
21UDGE St Helens Quick edit Valid 2013-05-30 21UDGE
21UDGF Silverhill Quick edit Valid 2013-05-30 21UDGF
21UDGG Tressell Quick edit Valid 2013-05-30 21UDGG
21UDGH West St Leonards Quick edit Valid 2013-05-30 21UDGH
21UDGJ Wishing Tree Quick edit Valid 2013-05-30 21UDGJ
21UFGG Barcombe and Hamsey Quick edit Valid 2013-05-30 21UFGG
21UFGH Chailey and Wivelsfield Quick edit Valid 2013-05-30 21UFGH
21UFGJ Ditchling and Westmeston Quick edit Valid 2013-05-30 21UFGJ
21UFGK East Saltdean and Telscombe Cliffs Quick edit Valid 2013-05-30 21UFGK
21UFGL Kingston Quick edit Valid 2013-05-30 21UFGL
21UFGM Lewes Bridge Quick edit Valid 2013-05-30 21UFGM
21UFGN Lewes Castle Quick edit Valid 2013-05-30 21UFGN
21UFGP Lewes Priory Quick edit Valid 2013-05-30 21UFGP
21UFGQ Newhaven Denton and Meeching Quick edit Valid 2013-05-30 21UFGQ
21UFGR Newhaven Valley Quick edit Valid 2013-05-30 21UFGR
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?