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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 7,321 to 7,340.First363364365366367368369370Last
Id Label Status Status Modified Notation
30UFGK Kirkham North Quick edit Valid 2013-05-30 30UFGK
30UFGL Kirkham South Quick edit Valid 2013-05-30 30UFGL
30UFGM Medlar-with-Wesham Quick edit Valid 2013-05-30 30UFGM
30UFGN Newton and Treales Quick edit Valid 2013-05-30 30UFGN
30UFGP Park Quick edit Valid 2013-05-30 30UFGP
30UFGQ Ribby-with-Wrea Quick edit Valid 2013-05-30 30UFGQ
30UFGR St Johns Quick edit Valid 2013-05-30 30UFGR
30UFGS St Leonards Quick edit Valid 2013-05-30 30UFGS
30UFGT Singleton and Greenhalgh Quick edit Valid 2013-05-30 30UFGT
30UFGU Staining and Weeton Quick edit Valid 2013-05-30 30UFGU
30UFGW Warton and Westby Quick edit Valid 2013-05-30 30UFGW
30UGFT Altham Quick edit Valid 2013-05-30 30UGFT
30UGFU Barnfield Quick edit Valid 2013-05-30 30UGFU
30UGFW Baxenden Quick edit Valid 2013-05-30 30UGFW
30UGFX Central Quick edit Valid 2013-05-30 30UGFX
30UGFY Church Quick edit Valid 2013-05-30 30UGFY
30UGFZ Clayton-le-Moors Quick edit Valid 2013-05-30 30UGFZ
30UGGA Huncoat Quick edit Valid 2013-05-30 30UGGA
30UGGB Immanuel Quick edit Valid 2013-05-30 30UGGB
30UGGC Milnshaw Quick edit Valid 2013-05-30 30UGGC
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?