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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 9,481 to 9,500.First471472473474475476477478Last
Id Label Status Status Modified Notation
45UCGJ Barnham Quick edit Valid 2013-05-30 45UCGJ
45UCGK Beach Quick edit Valid 2013-05-30 45UCGK
45UCGL Bersted Quick edit Valid 2013-05-30 45UCGL
45UCGM Brookfield Quick edit Valid 2013-05-30 45UCGM
45UCGN East Preston with Kingston Quick edit Valid 2013-05-30 45UCGN
45UCGP Felpham East Quick edit Valid 2013-05-30 45UCGP
45UCGQ Felpham West Quick edit Valid 2013-05-30 45UCGQ
45UCGR Ferring Quick edit Valid 2013-05-30 45UCGR
45UCGS Findon Quick edit Valid 2013-05-30 45UCGS
45UCGT Ham Quick edit Valid 2013-05-30 45UCGT
45UCGU Hotham Quick edit Valid 2013-05-30 45UCGU
45UCGW Marine Quick edit Valid 2013-05-30 45UCGW
45UCGX Middleton-on-Sea Quick edit Valid 2013-05-30 45UCGX
45UCGY Orchard Quick edit Valid 2013-05-30 45UCGY
45UCGZ Pagham and Rose Green Quick edit Valid 2013-05-30 45UCGZ
45UCHA Pevensey Quick edit Valid 2013-05-30 45UCHA
45UCHB River Quick edit Valid 2013-05-30 45UCHB
45UCHC Rustington East Quick edit Valid 2013-05-30 45UCHC
45UCHD Rustington West Quick edit Valid 2013-05-30 45UCHD
45UCHE Walberton Quick edit Valid 2013-05-30 45UCHE
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?