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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 5,361 to 5,380.First265266267268269270271272Last
Id Label Status Status Modified Notation
12UGHT Milton Quick edit Valid 2013-05-30 12UGHT
12UGHU Orwell and Barrington Quick edit Valid 2013-05-30 12UGHU
12UGHX Sawston Quick edit Valid 2013-05-30 12UGHX
12UGHY Swavesey Quick edit Valid 2013-05-30 12UGHY
12UGHZ Teversham Quick edit Valid 2013-05-30 12UGHZ
12UGJA The Abingtons Quick edit Valid 2013-05-30 12UGJA
12UGJB The Mordens Quick edit Valid 2013-05-30 12UGJB
12UGJC The Shelfords and Stapleford Quick edit Valid 2013-05-30 12UGJC
12UGJD The Wilbrahams Quick edit Valid 2013-05-30 12UGJD
12UGJE Waterbeach Quick edit Valid 2013-05-30 12UGJE
12UGJF Whittlesford Quick edit Valid 2013-05-30 12UGJF
12UGJG Willingham and Over Quick edit Valid 2013-05-30 12UGJG
12UGJH Bourn Quick edit Valid 2013-05-30 12UGJH
12UGJJ Papworth and Elsworth Quick edit Valid 2013-05-30 12UGJJ
16UBGM All Saints Quick edit Valid 2013-05-30 16UBGM
16UBGN Aspatria Quick edit Valid 2013-05-30 16UBGN
16UBGP Boltons Quick edit Valid 2013-05-30 16UBGP
16UBGQ Broughton St Bridget's Quick edit Valid 2013-05-30 16UBGQ
16UBGR Christchurch Quick edit Valid 2013-05-30 16UBGR
16UBGS Clifton Quick edit Valid 2013-05-30 16UBGS
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?