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 5,141 to 5,160.First254255256257258259260261Last
Id Label Status Status Modified Notation
00RJ29 Loch Eynort Quick edit Valid 2013-05-30 00RJ29
00RJ30 Daliburgh and Eriskay Quick edit Valid 2013-05-30 00RJ30
00RJ31 Barra and Vatersay Quick edit Valid 2013-05-30 00RJ31
11UBGR Aston Clinton Quick edit Valid 2013-05-30 11UBGR
11UBGS Aylesbury Central Quick edit Valid 2013-05-30 11UBGS
11UBGT Bedgrove Quick edit Valid 2013-05-30 11UBGT
11UBGU Bierton Quick edit Valid 2013-05-30 11UBGU
11UBGW Brill Quick edit Valid 2013-05-30 11UBGW
11UBGX Buckingham North Quick edit Valid 2013-05-30 11UBGX
11UBGY Buckingham South Quick edit Valid 2013-05-30 11UBGY
11UBGZ Cheddington Quick edit Valid 2013-05-30 11UBGZ
11UBHA Coldharbour Quick edit Valid 2013-05-30 11UBHA
11UBHB Edlesborough Quick edit Valid 2013-05-30 11UBHB
11UBHC Elmhurst and Watermead Quick edit Valid 2013-05-30 11UBHC
11UBHD Gatehouse Quick edit Valid 2013-05-30 11UBHD
11UBHE Great Brickhill Quick edit Valid 2013-05-30 11UBHE
11UBHF Great Horwood Quick edit Valid 2013-05-30 11UBHF
11UBHG Grendon Underwood Quick edit Valid 2013-05-30 11UBHG
11UBHH Haddenham Quick edit Valid 2013-05-30 11UBHH
11UBHJ Long Crendon Quick edit Valid 2013-05-30 11UBHJ
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?