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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 8,441 to 8,460.First419420421422423424425426Last
Id Label Status Status Modified Notation
37UEGN Mapperley Plains Quick edit Valid 2013-05-30 37UEGN
37UEGP Netherfield and Colwick Quick edit Valid 2013-05-30 37UEGP
37UEGQ Newstead Quick edit Valid 2013-05-30 37UEGQ
37UEGR Phoenix Quick edit Valid 2013-05-30 37UEGR
37UEGS Porchester Quick edit Valid 2013-05-30 37UEGS
37UEGT Ravenshead Quick edit Valid 2013-05-30 37UEGT
37UEGU St James Quick edit Valid 2013-05-30 37UEGU
37UEGW St Marys Quick edit Valid 2013-05-30 37UEGW
37UEGX Valley Quick edit Valid 2013-05-30 37UEGX
37UEGY Woodborough Quick edit Valid 2013-05-30 37UEGY
37UEGZ Woodthorpe Quick edit Valid 2013-05-30 37UEGZ
37UFFU Berry Hill Quick edit Valid 2013-05-30 37UFFU
37UFFW Birklands Quick edit Valid 2013-05-30 37UFFW
37UFFX Broomhill Quick edit Valid 2013-05-30 37UFFX
37UFFY Cumberlands Quick edit Valid 2013-05-30 37UFFY
37UFFZ Eakring Quick edit Valid 2013-05-30 37UFFZ
37UFGA Forest Town East Quick edit Valid 2013-05-30 37UFGA
37UFGB Forest Town West Quick edit Valid 2013-05-30 37UFGB
37UFGC Grange Farm Quick edit Valid 2013-05-30 37UFGC
37UFGD Ladybrook Quick edit Valid 2013-05-30 37UFGD
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?