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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 8,241 to 8,260.First409410411412413414415416Last
Id Label Status Status Modified Notation
36UCHQ Tollerton Quick edit Valid 2013-05-30 36UCHQ
36UCHR Topcliffe Quick edit Valid 2013-05-30 36UCHR
36UCHS White Horse Quick edit Valid 2013-05-30 36UCHS
36UCHT Whitestonecliffe Quick edit Valid 2013-05-30 36UCHT
36UDGL Bilton Quick edit Valid 2013-05-30 36UDGL
36UDGM Bishop Monkton Quick edit Valid 2013-05-30 36UDGM
36UDGN Boroughbridge Quick edit Valid 2013-05-30 36UDGN
36UDGP Claro Quick edit Valid 2013-05-30 36UDGP
36UDGQ Granby Quick edit Valid 2013-05-30 36UDGQ
36UDGR Harlow Moor Quick edit Valid 2013-05-30 36UDGR
36UDGS High Harrogate Quick edit Valid 2013-05-30 36UDGS
36UDGT Hookstone Quick edit Valid 2013-05-30 36UDGT
36UDGU Killinghall Quick edit Valid 2013-05-30 36UDGU
36UDGW Kirkby Malzeard Quick edit Valid 2013-05-30 36UDGW
36UDGX Knaresborough East Quick edit Valid 2013-05-30 36UDGX
36UDGY Knaresborough King James Quick edit Valid 2013-05-30 36UDGY
36UDGZ Knaresborough Scriven Park Quick edit Valid 2013-05-30 36UDGZ
36UDHA Low Harrogate Quick edit Valid 2013-05-30 36UDHA
36UDHB Lower Nidderdale Quick edit Valid 2013-05-30 36UDHB
36UDHC Marston Moor Quick edit Valid 2013-05-30 36UDHC
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?