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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 5,161 to 5,180.First255256257258259260261262Last
Id Label Status Status Modified Notation
11UBHK Luffield Abbey Quick edit Valid 2013-05-30 11UBHK
11UBHL Mandeville and Elm Farm Quick edit Valid 2013-05-30 11UBHL
11UBHM Marsh Gibbon Quick edit Valid 2013-05-30 11UBHM
11UBHN Newton Longville Quick edit Valid 2013-05-30 11UBHN
11UBHP Oakfield Quick edit Valid 2013-05-30 11UBHP
11UBHQ Pitstone Quick edit Valid 2013-05-30 11UBHQ
11UBHR Quainton Quick edit Valid 2013-05-30 11UBHR
11UBHS Quarrendon Quick edit Valid 2013-05-30 11UBHS
11UBHT Southcourt Quick edit Valid 2013-05-30 11UBHT
11UBHU Steeple Claydon Quick edit Valid 2013-05-30 11UBHU
11UBHW Stewkley Quick edit Valid 2013-05-30 11UBHW
11UBHX Tingewick Quick edit Valid 2013-05-30 11UBHX
11UBHY Waddesdon Quick edit Valid 2013-05-30 11UBHY
11UBHZ Walton Court and Hawkslade Quick edit Valid 2013-05-30 11UBHZ
11UBJA Weedon Quick edit Valid 2013-05-30 11UBJA
11UBJB Wendover Quick edit Valid 2013-05-30 11UBJB
11UBJC Wing Quick edit Valid 2013-05-30 11UBJC
11UBJD Wingrave Quick edit Valid 2013-05-30 11UBJD
11UBJE Winslow Quick edit Valid 2013-05-30 11UBJE
11UCGH Amersham Common Quick edit Valid 2013-05-30 11UCGH
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?