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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 8,121 to 8,140.First403404405406407408409410Last
Id Label Status Status Modified Notation
34UEHH Northfield Quick edit Valid 2013-05-30 34UEHH
34UEHJ Pipers Hill Quick edit Valid 2013-05-30 34UEHJ
34UEHK Queen Eleanor and Buccleuch Quick edit Valid 2013-05-30 34UEHK
34UEHL Rothwell Quick edit Valid 2013-05-30 34UEHL
34UEHM St Michael's and Wicksteed Quick edit Valid 2013-05-30 34UEHM
34UEHN St Peter's Quick edit Valid 2013-05-30 34UEHN
34UEHP Slade Quick edit Valid 2013-05-30 34UEHP
34UEHQ Welland Quick edit Valid 2013-05-30 34UEHQ
34UEHR William Knibb Quick edit Valid 2013-05-30 34UEHR
34UFFY Abington Quick edit Valid 2013-05-30 34UFFY
34UFFZ Billing Quick edit Valid 2013-05-30 34UFFZ
34UFGA Boughton Green Quick edit Valid 2013-05-30 34UFGA
34UFGB Castle Quick edit Valid 2013-05-30 34UFGB
34UFGC Delapre Quick edit Valid 2013-05-30 34UFGC
34UFGD East Hunsbury Quick edit Valid 2013-05-30 34UFGD
34UFGE Eastfield Quick edit Valid 2013-05-30 34UFGE
34UFGF Ecton Brook Quick edit Valid 2013-05-30 34UFGF
34UFGG Headlands Quick edit Valid 2013-05-30 34UFGG
34UFGH Kingsley Quick edit Valid 2013-05-30 34UFGH
34UFGJ Kingsthorpe Quick edit Valid 2013-05-30 34UFGJ
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?