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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 9,521 to 9,540.First473474475476477478479480Last
Id Label Status Status Modified Notation
45UDHG Plaistow Quick edit Valid 2013-05-30 45UDHG
45UDHH Rogate Quick edit Valid 2013-05-30 45UDHH
45UDHJ Selsey North Quick edit Valid 2013-05-30 45UDHJ
45UDHK Selsey South Quick edit Valid 2013-05-30 45UDHK
45UDHL Sidlesham Quick edit Valid 2013-05-30 45UDHL
45UDHM Southbourne Quick edit Valid 2013-05-30 45UDHM
45UDHN Stedham Quick edit Valid 2013-05-30 45UDHN
45UDHP Tangmere Quick edit Valid 2013-05-30 45UDHP
45UDHQ West Wittering Quick edit Valid 2013-05-30 45UDHQ
45UDHR Westbourne Quick edit Valid 2013-05-30 45UDHR
45UDHS Wisborough Green Quick edit Valid 2013-05-30 45UDHS
45UEFP Bewbush Quick edit Valid 2013-05-30 45UEFP
45UEFQ Broadfield North Quick edit Valid 2013-05-30 45UEFQ
45UEFR Broadfield South Quick edit Valid 2013-05-30 45UEFR
45UEFS Furnace Green Quick edit Valid 2013-05-30 45UEFS
45UEFT Gossops Green Quick edit Valid 2013-05-30 45UEFT
45UEFU Ifield Quick edit Valid 2013-05-30 45UEFU
45UEFW Langley Green Quick edit Valid 2013-05-30 45UEFW
45UEFX Maidenbower Quick edit Valid 2013-05-30 45UEFX
45UEFY Northgate Quick edit Valid 2013-05-30 45UEFY
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?