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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 6,661 to 6,680.First330331332333334335336337Last
Id Label Status Status Modified Notation
24UFFQ Brockhurst Quick edit Valid 2013-05-30 24UFFQ
24UFFR Christchurch Quick edit Valid 2013-05-30 24UFFR
24UFFS Elson Quick edit Valid 2013-05-30 24UFFS
24UFFT Forton Quick edit Valid 2013-05-30 24UFFT
24UFFU Grange Quick edit Valid 2013-05-30 24UFFU
24UFFW Hardway Quick edit Valid 2013-05-30 24UFFW
24UFFX Lee East Quick edit Valid 2013-05-30 24UFFX
24UFFY Lee West Quick edit Valid 2013-05-30 24UFFY
24UFFZ Leesland Quick edit Valid 2013-05-30 24UFFZ
24UFGA Peel Common Quick edit Valid 2013-05-30 24UFGA
24UFGB Privett Quick edit Valid 2013-05-30 24UFGB
24UFGC Rowner and Holbrook Quick edit Valid 2013-05-30 24UFGC
24UFGD Town Quick edit Valid 2013-05-30 24UFGD
24UGFS Blackwater and Hawley Quick edit Valid 2013-05-30 24UGFS
24UGFT Church Crookham East Quick edit Valid 2013-05-30 24UGFT
24UGFU Church Crookham West Quick edit Valid 2013-05-30 24UGFU
24UGFW Crondall Quick edit Valid 2013-05-30 24UGFW
24UGFX Eversley Quick edit Valid 2013-05-30 24UGFX
24UGFY Fleet Central Quick edit Valid 2013-05-30 24UGFY
24UGFZ Fleet Courtmoor Quick edit Valid 2013-05-30 24UGFZ
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?