You are here:
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 9,141 to 9,160.First454455456457458459460461Last
Id Label Status Status Modified Notation
42UHGL Normanston Quick edit Valid 2013-05-30 42UHGL
42UHGM Oulton Quick edit Valid 2013-05-30 42UHGM
42UHGN Oulton Broad Quick edit Valid 2013-05-30 42UHGN
42UHGP Pakefield Quick edit Valid 2013-05-30 42UHGP
42UHGQ St Margaret's Quick edit Valid 2013-05-30 42UHGQ
42UHGR Southwold and Reydon Quick edit Valid 2013-05-30 42UHGR
42UHGS The Saints Quick edit Valid 2013-05-30 42UHGS
42UHGT Wainford Quick edit Valid 2013-05-30 42UHGT
42UHGU Whitton Quick edit Valid 2013-05-30 42UHGU
42UHGW Worlingham Quick edit Valid 2013-05-30 42UHGW
42UHGX Wrentham Quick edit Valid 2013-05-30 42UHGX
43UBFZ Claygate Quick edit Valid 2013-05-30 43UBFZ
43UBGA Cobham and Downside Quick edit Valid 2013-05-30 43UBGA
43UBGB Cobham Fairmile Quick edit Valid 2013-05-30 43UBGB
43UBGC Esher Quick edit Valid 2013-05-30 43UBGC
43UBGD Hersham North Quick edit Valid 2013-05-30 43UBGD
43UBGE Hersham South Quick edit Valid 2013-05-30 43UBGE
43UBGF Hinchley Wood Quick edit Valid 2013-05-30 43UBGF
43UBGG Long Ditton Quick edit Valid 2013-05-30 43UBGG
43UBGH Molesey East Quick edit Valid 2013-05-30 43UBGH
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?