You are here:
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 9,001 to 9,020.First447448449450451452453454Last
Id Label Status Status Modified Notation
42UBHJ Sudbury North Quick edit Valid 2013-05-30 42UBHJ
42UBHK Sudbury South Quick edit Valid 2013-05-30 42UBHK
42UBHL Waldingfield Quick edit Valid 2013-05-30 42UBHL
42UCFR All Saints Quick edit Valid 2013-05-30 42UCFR
42UCFS Brandon East Quick edit Valid 2013-05-30 42UCFS
42UCFT Brandon West Quick edit Valid 2013-05-30 42UCFT
42UCFU Eriswell and The Rows Quick edit Valid 2013-05-30 42UCFU
42UCFW Exning Quick edit Valid 2013-05-30 42UCFW
42UCFX Great Heath Quick edit Valid 2013-05-30 42UCFX
42UCFY Iceni Quick edit Valid 2013-05-30 42UCFY
42UCFZ Lakenheath Quick edit Valid 2013-05-30 42UCFZ
42UCGA Manor Quick edit Valid 2013-05-30 42UCGA
42UCGB Market Quick edit Valid 2013-05-30 42UCGB
42UCGC Red Lodge Quick edit Valid 2013-05-30 42UCGC
42UCGD St Mary's Quick edit Valid 2013-05-30 42UCGD
42UCGE Severals Quick edit Valid 2013-05-30 42UCGE
42UCGF South Quick edit Valid 2013-05-30 42UCGF
42UDFS Alexandra Quick edit Valid 2013-05-30 42UDFS
42UDFT Bixley Quick edit Valid 2013-05-30 42UDFT
42UDFU Bridge Quick edit Valid 2013-05-30 42UDFU
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?