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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 8,521 to 8,540.First423424425426427428429430Last
Id Label Status Status Modified Notation
37UJHJ Trent Bridge Quick edit Valid 2013-05-30 37UJHJ
37UJHK Wiverton Quick edit Valid 2013-05-30 37UJHK
37UJHL Wolds Quick edit Valid 2013-05-30 37UJHL
38UBGJ Adderbury Quick edit Valid 2013-05-30 38UBGJ
38UBGK Ambrosden and Chesterton Quick edit Valid 2013-05-30 38UBGK
38UBGL Banbury Calthorpe Quick edit Valid 2013-05-30 38UBGL
38UBGM Banbury Easington Quick edit Valid 2013-05-30 38UBGM
38UBGN Banbury Grimsbury and Castle Quick edit Valid 2013-05-30 38UBGN
38UBGP Banbury Hardwick Quick edit Valid 2013-05-30 38UBGP
38UBGQ Banbury Neithrop Quick edit Valid 2013-05-30 38UBGQ
38UBGR Banbury Ruscote Quick edit Valid 2013-05-30 38UBGR
38UBGS Bicester East Quick edit Valid 2013-05-30 38UBGS
38UBGT Bicester North Quick edit Valid 2013-05-30 38UBGT
38UBGU Bicester South Quick edit Valid 2013-05-30 38UBGU
38UBGW Bicester Town Quick edit Valid 2013-05-30 38UBGW
38UBGX Bicester West Quick edit Valid 2013-05-30 38UBGX
38UBGY Bloxham and Bodicote Quick edit Valid 2013-05-30 38UBGY
38UBGZ Caversfield Quick edit Valid 2013-05-30 38UBGZ
38UBHA Cropredy Quick edit Valid 2013-05-30 38UBHA
38UBHB Deddington Quick edit Valid 2013-05-30 38UBHB
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?