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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 5,581 to 5,600.First276277278279280281282283Last
Id Label Status Status Modified Notation
17UCGU South Normanton West Quick edit Valid 2013-05-30 17UCGU
17UCGW Tibshelf Quick edit Valid 2013-05-30 17UCGW
17UCGX Whitwell Quick edit Valid 2013-05-30 17UCGX
17UDFX Barrow Hill and New Whittington Quick edit Valid 2013-05-30 17UDFX
17UDFY Brimington North Quick edit Valid 2013-05-30 17UDFY
17UDFZ Brimington South Quick edit Valid 2013-05-30 17UDFZ
17UDGA Brockwell Quick edit Valid 2013-05-30 17UDGA
17UDGB Dunston Quick edit Valid 2013-05-30 17UDGB
17UDGC Hasland Quick edit Valid 2013-05-30 17UDGC
17UDGD Hollingwood and Inkersall Quick edit Valid 2013-05-30 17UDGD
17UDGE Holmebrook Quick edit Valid 2013-05-30 17UDGE
17UDGF Linacre Quick edit Valid 2013-05-30 17UDGF
17UDGG Loundsley Green Quick edit Valid 2013-05-30 17UDGG
17UDGH Lowgates and Woodthorpe Quick edit Valid 2013-05-30 17UDGH
17UDGJ Middlecroft and Poolsbrook Quick edit Valid 2013-05-30 17UDGJ
17UDGK Moor Quick edit Valid 2013-05-30 17UDGK
17UDGL Old Whittington Quick edit Valid 2013-05-30 17UDGL
17UDGM Rother Quick edit Valid 2013-05-30 17UDGM
17UDGN St Helen's Quick edit Valid 2013-05-30 17UDGN
17UDGP St Leonard's Quick edit Valid 2013-05-30 17UDGP
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?