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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 5,921 to 5,940.First293294295296297298299300Last
Id Label Status Status Modified Notation
19UCFL Burton and Winkton Quick edit Valid 2013-05-30 19UCFL
19UCFM Grange Quick edit Valid 2013-05-30 19UCFM
19UCFN Highcliffe Quick edit Valid 2013-05-30 19UCFN
19UCFP Jumpers Quick edit Valid 2013-05-30 19UCFP
19UCFQ Mudeford and Friars Cliff Quick edit Valid 2013-05-30 19UCFQ
19UCFR North Highcliffe and Walkford Quick edit Valid 2013-05-30 19UCFR
19UCFS Portfield Quick edit Valid 2013-05-30 19UCFS
19UCFT Purewell and Stanpit Quick edit Valid 2013-05-30 19UCFT
19UCFU St Catherine's and Hurn Quick edit Valid 2013-05-30 19UCFU
19UCFW Town Centre Quick edit Valid 2013-05-30 19UCFW
19UCFX West Highcliffe Quick edit Valid 2013-05-30 19UCFX
19UDGA Alderholt Quick edit Valid 2013-05-30 19UDGA
19UDGB Ameysford Quick edit Valid 2013-05-30 19UDGB
19UDGC Colehill East Quick edit Valid 2013-05-30 19UDGC
19UDGD Colehill West Quick edit Valid 2013-05-30 19UDGD
19UDGE Corfe Mullen Central Quick edit Valid 2013-05-30 19UDGE
19UDGF Corfe Mullen North Quick edit Valid 2013-05-30 19UDGF
19UDGG Corfe Mullen South Quick edit Valid 2013-05-30 19UDGG
19UDGH Crane Quick edit Valid 2013-05-30 19UDGH
19UDGJ Ferndown Central Quick edit Valid 2013-05-30 19UDGJ
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?