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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 8,561 to 8,580.First425426427428429430431432Last
Id Label Status Status Modified Notation
38UCGD Holywell Quick edit Valid 2013-05-30 38UCGD
38UCGE Iffley Fields Quick edit Valid 2013-05-30 38UCGE
38UCGF Jericho and Osney Quick edit Valid 2013-05-30 38UCGF
38UCGG Littlemore Quick edit Valid 2013-05-30 38UCGG
38UCGH Lye Valley Quick edit Valid 2013-05-30 38UCGH
38UCGJ Marston Quick edit Valid 2013-05-30 38UCGJ
38UCGK North Quick edit Valid 2013-05-30 38UCGK
38UCGL Northfield Brook Quick edit Valid 2013-05-30 38UCGL
38UCGM Quarry and Risinghurst Quick edit Valid 2013-05-30 38UCGM
38UCGN Rose Hill and Iffley Quick edit Valid 2013-05-30 38UCGN
38UCGP St Clement's Quick edit Valid 2013-05-30 38UCGP
38UCGQ St Margaret's Quick edit Valid 2013-05-30 38UCGQ
38UCGR St Mary's Quick edit Valid 2013-05-30 38UCGR
38UCGS Summertown Quick edit Valid 2013-05-30 38UCGS
38UCGT Wolvercote Quick edit Valid 2013-05-30 38UCGT
38UDGK Aston Rowant Quick edit Valid 2013-05-30 38UDGK
38UDGL Benson Quick edit Valid 2013-05-30 38UDGL
38UDGM Berinsfield Quick edit Valid 2013-05-30 38UDGM
38UDGN Brightwell Quick edit Valid 2013-05-30 38UDGN
38UDGP Chalgrove Quick edit Valid 2013-05-30 38UDGP
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?