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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 6,761 to 6,780.First335336337338339340341342Last
Id Label Status Status Modified Notation
24UNGH Broughton and Stockbridge Quick edit Valid 2013-05-30 24UNGH
24UNGJ Charlton Quick edit Valid 2013-05-30 24UNGJ
24UNGK Chilworth, Nursling and Rownhams Quick edit Valid 2013-05-30 24UNGK
24UNGL Cupernham Quick edit Valid 2013-05-30 24UNGL
24UNGM Dun Valley Quick edit Valid 2013-05-30 24UNGM
24UNGN Harewood Quick edit Valid 2013-05-30 24UNGN
24UNGP Harroway Quick edit Valid 2013-05-30 24UNGP
24UNGQ Kings Somborne and Michelmersh Quick edit Valid 2013-05-30 24UNGQ
24UNGR Millway Quick edit Valid 2013-05-30 24UNGR
24UNGS North Baddesley Quick edit Valid 2013-05-30 24UNGS
24UNGT Over Wallop Quick edit Valid 2013-05-30 24UNGT
24UNGU Penton Bellinger Quick edit Valid 2013-05-30 24UNGU
24UNGW Romsey Extra Quick edit Valid 2013-05-30 24UNGW
24UNGX St Mary's Quick edit Valid 2013-05-30 24UNGX
24UNGY Tadburn Quick edit Valid 2013-05-30 24UNGY
24UNGZ Valley Park Quick edit Valid 2013-05-30 24UNGZ
24UNHA Winton Quick edit Valid 2013-05-30 24UNHA
24UPGK Bishops Waltham Quick edit Valid 2013-05-30 24UPGK
24UPGL Boarhunt and Southwick Quick edit Valid 2013-05-30 24UPGL
24UPGM Cheriton and Bishops Sutton Quick edit Valid 2013-05-30 24UPGM
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?