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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 8,541 to 8,560.First424425426427428429430431Last
Id Label Status Status Modified Notation
38UBHC Fringford Quick edit Valid 2013-05-30 38UBHC
38UBHD Hook Norton Quick edit Valid 2013-05-30 38UBHD
38UBHE Kidlington North Quick edit Valid 2013-05-30 38UBHE
38UBHF Kidlington South Quick edit Valid 2013-05-30 38UBHF
38UBHG Kirtlington Quick edit Valid 2013-05-30 38UBHG
38UBHH Launton Quick edit Valid 2013-05-30 38UBHH
38UBHJ Otmoor Quick edit Valid 2013-05-30 38UBHJ
38UBHK Sibford Quick edit Valid 2013-05-30 38UBHK
38UBHL The Astons and Heyfords Quick edit Valid 2013-05-30 38UBHL
38UBHM Wroxton Quick edit Valid 2013-05-30 38UBHM
38UBHN Yarnton, Gosford and Water Eaton Quick edit Valid 2013-05-30 38UBHN
38UCFT Barton and Sandhills Quick edit Valid 2013-05-30 38UCFT
38UCFU Blackbird Leys Quick edit Valid 2013-05-30 38UCFU
38UCFW Carfax Quick edit Valid 2013-05-30 38UCFW
38UCFX Churchill Quick edit Valid 2013-05-30 38UCFX
38UCFY Cowley Quick edit Valid 2013-05-30 38UCFY
38UCFZ Cowley Marsh Quick edit Valid 2013-05-30 38UCFZ
38UCGA Headington Quick edit Valid 2013-05-30 38UCGA
38UCGB Headington Hill and Northway Quick edit Valid 2013-05-30 38UCGB
38UCGC Hinksey Park Quick edit Valid 2013-05-30 38UCGC
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?