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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 8,741 to 8,760.First434435436437438439440441Last
Id Label Status Status Modified Notation
40UDKM Martock Quick edit Valid 2013-05-30 40UDKM
40UDKN Milborne Port Quick edit Valid 2013-05-30 40UDKN
40UDKP Neroche Quick edit Valid 2013-05-30 40UDKP
40UDKQ Northstone Quick edit Valid 2013-05-30 40UDKQ
40UDKR Parrett Quick edit Valid 2013-05-30 40UDKR
40UDKS St Michael's Quick edit Valid 2013-05-30 40UDKS
40UDKT South Petherton Quick edit Valid 2013-05-30 40UDKT
40UDKU Tatworth and Forton Quick edit Valid 2013-05-30 40UDKU
40UDKW Tower Quick edit Valid 2013-05-30 40UDKW
40UDKX Turn Hill Quick edit Valid 2013-05-30 40UDKX
40UDKY Wessex Quick edit Valid 2013-05-30 40UDKY
40UDKZ Wincanton Quick edit Valid 2013-05-30 40UDKZ
40UDLA Windwhistle Quick edit Valid 2013-05-30 40UDLA
40UDLB Yeovil Central Quick edit Valid 2013-05-30 40UDLB
40UDLC Yeovil East Quick edit Valid 2013-05-30 40UDLC
40UDLD Yeovil South Quick edit Valid 2013-05-30 40UDLD
40UDLE Yeovil West Quick edit Valid 2013-05-30 40UDLE
40UDLF Yeovil Without Quick edit Valid 2013-05-30 40UDLF
40UEHM Bishop's Hull Quick edit Valid 2013-05-30 40UEHM
40UEHN Bishop's Lydeard Quick edit Valid 2013-05-30 40UEHN
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?