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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 8,341 to 8,360.First414415416417418419420421Last
Id Label Status Status Modified Notation
36UGGS Ramshill Quick edit Valid 2013-05-30 36UGGS
36UGGT Scalby, Hackness and Staintondale Quick edit Valid 2013-05-30 36UGGT
36UGGU Seamer Quick edit Valid 2013-05-30 36UGGU
36UGGW Stepney Quick edit Valid 2013-05-30 36UGGW
36UGGX Streonshalh Quick edit Valid 2013-05-30 36UGGX
36UGGY Weaponness Quick edit Valid 2013-05-30 36UGGY
36UGGZ Whitby West Cliff Quick edit Valid 2013-05-30 36UGGZ
36UGHA Woodlands Quick edit Valid 2013-05-30 36UGHA
36UHGN Appleton Roebuck Quick edit Valid 2013-05-30 36UHGN
36UHGP Barlby Quick edit Valid 2013-05-30 36UHGP
36UHGQ Brayton Quick edit Valid 2013-05-30 36UHGQ
36UHGR Camblesforth Quick edit Valid 2013-05-30 36UHGR
36UHGS Cawood with Wistow Quick edit Valid 2013-05-30 36UHGS
36UHGT Eggborough Quick edit Valid 2013-05-30 36UHGT
36UHGU Fairburn with Brotherton Quick edit Valid 2013-05-30 36UHGU
36UHGW Hambleton Quick edit Valid 2013-05-30 36UHGW
36UHGX Hemingbrough Quick edit Valid 2013-05-30 36UHGX
36UHGY Monk Fryston and South Milford Quick edit Valid 2013-05-30 36UHGY
36UHGZ North Duffield Quick edit Valid 2013-05-30 36UHGZ
36UHHA Riccall with Escrick Quick edit Valid 2013-05-30 36UHHA
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?