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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 5,761 to 5,780.First285286287288289290291292Last
Id Label Status Status Modified Notation
18UCGE Polsloe Quick edit Valid 2013-05-30 18UCGE
18UCGF Priory Quick edit Valid 2013-05-30 18UCGF
18UCGG St David's Quick edit Valid 2013-05-30 18UCGG
18UCGH St James Quick edit Valid 2013-05-30 18UCGH
18UCGJ St Leonard's Quick edit Valid 2013-05-30 18UCGJ
18UCGK St Loyes Quick edit Valid 2013-05-30 18UCGK
18UCGL St Thomas Quick edit Valid 2013-05-30 18UCGL
18UCGM Topsham Quick edit Valid 2013-05-30 18UCGM
18UCGN Whipton & Barton Quick edit Valid 2013-05-30 18UCGN
18UDGF Boniface Quick edit Valid 2013-05-30 18UDGF
18UDGG Bradninch Quick edit Valid 2013-05-30 18UDGG
18UDGH Cadbury Quick edit Valid 2013-05-30 18UDGH
18UDGJ Canonsleigh Quick edit Valid 2013-05-30 18UDGJ
18UDGK Castle Quick edit Valid 2013-05-30 18UDGK
18UDGL Clare and Shuttern Quick edit Valid 2013-05-30 18UDGL
18UDGM Cranmore Quick edit Valid 2013-05-30 18UDGM
18UDGN Cullompton North Quick edit Valid 2013-05-30 18UDGN
18UDGP Cullompton Outer Quick edit Valid 2013-05-30 18UDGP
18UDGQ Cullompton South Quick edit Valid 2013-05-30 18UDGQ
18UDGR Halberton Quick edit Valid 2013-05-30 18UDGR
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?