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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 6,101 to 6,120.First302303304305306307308309Last
Id Label Status Status Modified Notation
21UGGN Marsham Quick edit Valid 2013-05-30 21UGGN
21UGGP Old Town Quick edit Valid 2013-05-30 21UGGP
21UGGQ Rother Levels Quick edit Valid 2013-05-30 21UGGQ
21UGGR Rye Quick edit Valid 2013-05-30 21UGGR
21UGGS Sackville Quick edit Valid 2013-05-30 21UGGS
21UGGT St Marks Quick edit Valid 2013-05-30 21UGGT
21UGGU St Michaels Quick edit Valid 2013-05-30 21UGGU
21UGGW St Stephens Quick edit Valid 2013-05-30 21UGGW
21UGGX Salehurst Quick edit Valid 2013-05-30 21UGGX
21UGGY Sidley Quick edit Valid 2013-05-30 21UGGY
21UGGZ Ticehurst and Etchingham Quick edit Valid 2013-05-30 21UGGZ
21UHGM Alfriston Quick edit Valid 2013-05-30 21UHGM
21UHGN Buxted and Maresfield Quick edit Valid 2013-05-30 21UHGN
21UHGP Chiddingly and East Hoathly Quick edit Valid 2013-05-30 21UHGP
21UHGQ Cross in Hand/Five Ashes Quick edit Valid 2013-05-30 21UHGQ
21UHGR Crowborough East Quick edit Valid 2013-05-30 21UHGR
21UHGS Crowborough Jarvis Brook Quick edit Valid 2013-05-30 21UHGS
21UHGT Crowborough North Quick edit Valid 2013-05-30 21UHGT
21UHGU Crowborough St. Johns Quick edit Valid 2013-05-30 21UHGU
21UHGW Crowborough West Quick edit Valid 2013-05-30 21UHGW
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?