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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 7,881 to 7,900.First391392393394395396397398Last
Id Label Status Status Modified Notation
33UBJG West Guiltcross Quick edit Valid 2013-05-30 33UBJG
33UBJH Wissey Quick edit Valid 2013-05-30 33UBJH
33UCGN Acle Quick edit Valid 2013-05-30 33UCGN
33UCGP Aylsham Quick edit Valid 2013-05-30 33UCGP
33UCGQ Blofield with South Walsham Quick edit Valid 2013-05-30 33UCGQ
33UCGR Brundall Quick edit Valid 2013-05-30 33UCGR
33UCGS Burlingham Quick edit Valid 2013-05-30 33UCGS
33UCGT Buxton Quick edit Valid 2013-05-30 33UCGT
33UCGU Coltishall Quick edit Valid 2013-05-30 33UCGU
33UCGW Drayton North Quick edit Valid 2013-05-30 33UCGW
33UCGX Drayton South Quick edit Valid 2013-05-30 33UCGX
33UCGY Eynesford Quick edit Valid 2013-05-30 33UCGY
33UCGZ Great Witchingham Quick edit Valid 2013-05-30 33UCGZ
33UCHA Hellesdon North West Quick edit Valid 2013-05-30 33UCHA
33UCHB Hellesdon South East Quick edit Valid 2013-05-30 33UCHB
33UCHC Hevingham Quick edit Valid 2013-05-30 33UCHC
33UCHD Horsford and Felthorpe Quick edit Valid 2013-05-30 33UCHD
33UCHE Marshes Quick edit Valid 2013-05-30 33UCHE
33UCHF Old Catton and Sprowston West Quick edit Valid 2013-05-30 33UCHF
33UCHG Plumstead Quick edit Valid 2013-05-30 33UCHG
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?