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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 8,001 to 8,020.First397398399400401402403404Last
Id Label Status Status Modified Notation
33UFHZ Wensum Quick edit Valid 2013-05-30 33UFHZ
33UFJA Worstead Quick edit Valid 2013-05-30 33UFJA
33UGFS Bowthorpe Quick edit Valid 2013-05-30 33UGFS
33UGFT Catton Grove Quick edit Valid 2013-05-30 33UGFT
33UGFU Crome Quick edit Valid 2013-05-30 33UGFU
33UGFW Eaton Quick edit Valid 2013-05-30 33UGFW
33UGFX Lakenham Quick edit Valid 2013-05-30 33UGFX
33UGFY Mancroft Quick edit Valid 2013-05-30 33UGFY
33UGFZ Mile Cross Quick edit Valid 2013-05-30 33UGFZ
33UGGA Nelson Quick edit Valid 2013-05-30 33UGGA
33UGGB Sewell Quick edit Valid 2013-05-30 33UGGB
33UGGC Thorpe Hamlet Quick edit Valid 2013-05-30 33UGGC
33UGGD Town Close Quick edit Valid 2013-05-30 33UGGD
33UGGE University Quick edit Valid 2013-05-30 33UGGE
33UGGF Wensum Quick edit Valid 2013-05-30 33UGGF
33UHGU Abbey Quick edit Valid 2013-05-30 33UHGU
33UHGY Brooke Quick edit Valid 2013-05-30 33UHGY
33UHGZ Bunwell Quick edit Valid 2013-05-30 33UHGZ
33UHHD Dickleburgh Quick edit Valid 2013-05-30 33UHHD
33UHHF Ditchingham and Broome Quick edit Valid 2013-05-30 33UHHF
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?