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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 9,201 to 9,220.First457458459460461462463464Last
Id Label Status Status Modified Notation
43UDGN Pirbright Quick edit Valid 2013-05-30 43UDGN
43UDGP Send Quick edit Valid 2013-05-30 43UDGP
43UDGQ Shalford Quick edit Valid 2013-05-30 43UDGQ
43UDGR Stoke Quick edit Valid 2013-05-30 43UDGR
43UDGS Stoughton Quick edit Valid 2013-05-30 43UDGS
43UDGT Tillingbourne Quick edit Valid 2013-05-30 43UDGT
43UDGU Westborough Quick edit Valid 2013-05-30 43UDGU
43UDGW Worplesdon Quick edit Valid 2013-05-30 43UDGW
43UEGA Ashtead Common Quick edit Valid 2013-05-30 43UEGA
43UEGB Ashtead Park Quick edit Valid 2013-05-30 43UEGB
43UEGC Ashtead Village Quick edit Valid 2013-05-30 43UEGC
43UEGD Beare Green Quick edit Valid 2013-05-30 43UEGD
43UEGE Bookham North Quick edit Valid 2013-05-30 43UEGE
43UEGF Bookham South Quick edit Valid 2013-05-30 43UEGF
43UEGG Box Hill and Headley Quick edit Valid 2013-05-30 43UEGG
43UEGH Brockham, Betchworth and Buckland Quick edit Valid 2013-05-30 43UEGH
43UEGJ Capel, Leigh and Newdigate Quick edit Valid 2013-05-30 43UEGJ
43UEGK Charlwood Quick edit Valid 2013-05-30 43UEGK
43UEGL Dorking North Quick edit Valid 2013-05-30 43UEGL
43UEGM Dorking South Quick edit Valid 2013-05-30 43UEGM
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?