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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 8,161 to 8,180.First405406407408409410411412Last
Id Label Status Status Modified Notation
34UGJC Danvers and Wardoun Quick edit Valid 2013-05-30 34UGJC
34UGJD Deanshanger Quick edit Valid 2013-05-30 34UGJD
34UGJE Grange Park Quick edit Valid 2013-05-30 34UGJE
34UGJF Hackleton Quick edit Valid 2013-05-30 34UGJF
34UGJG Harpole and Grange Quick edit Valid 2013-05-30 34UGJG
34UGJH Heyfords and Bugbrooke Quick edit Valid 2013-05-30 34UGJH
34UGJJ Kings Sutton Quick edit Valid 2013-05-30 34UGJJ
34UGJK Kingthorn Quick edit Valid 2013-05-30 34UGJK
34UGJL Little Brook Quick edit Valid 2013-05-30 34UGJL
34UGJM Middleton Cheney Quick edit Valid 2013-05-30 34UGJM
34UGJN Old Stratford Quick edit Valid 2013-05-30 34UGJN
34UGJP Salcey Quick edit Valid 2013-05-30 34UGJP
34UGJQ Silverstone Quick edit Valid 2013-05-30 34UGJQ
34UGJR Steane Quick edit Valid 2013-05-30 34UGJR
34UGJS Tove Quick edit Valid 2013-05-30 34UGJS
34UGJT Towcester Brook Quick edit Valid 2013-05-30 34UGJT
34UGJU Towcester Mill Quick edit Valid 2013-05-30 34UGJU
34UGJW Washington Quick edit Valid 2013-05-30 34UGJW
34UGJX Whittlewood Quick edit Valid 2013-05-30 34UGJX
34UHFR Brickhill Quick edit Valid 2013-05-30 34UHFR
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?