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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 8,701 to 8,720.First432433434435436437438439Last
Id Label Status Status Modified Notation
40UCGQ Bridgwater Hamp Quick edit Valid 2013-05-30 40UCGQ
40UCGR Bridgwater Quantock Quick edit Valid 2013-05-30 40UCGR
40UCGS Bridgwater Sydenham Quick edit Valid 2013-05-30 40UCGS
40UCGT Bridgwater Victoria Quick edit Valid 2013-05-30 40UCGT
40UCGU Burnham North Quick edit Valid 2013-05-30 40UCGU
40UCGW Burnham South Quick edit Valid 2013-05-30 40UCGW
40UCGX Cannington and Quantocks Quick edit Valid 2013-05-30 40UCGX
40UCGY Cheddar and Shipham Quick edit Valid 2013-05-30 40UCGY
40UCGZ East Poldens Quick edit Valid 2013-05-30 40UCGZ
40UCHA Highbridge Quick edit Valid 2013-05-30 40UCHA
40UCHB Huntspill and Pawlett Quick edit Valid 2013-05-30 40UCHB
40UCHC King's Isle Quick edit Valid 2013-05-30 40UCHC
40UCHD Knoll Quick edit Valid 2013-05-30 40UCHD
40UCHE North Petherton Quick edit Valid 2013-05-30 40UCHE
40UCHF Puriton Quick edit Valid 2013-05-30 40UCHF
40UCHG Sandford Quick edit Valid 2013-05-30 40UCHG
40UCHH Wedmore and Mark Quick edit Valid 2013-05-30 40UCHH
40UCHJ West Poldens Quick edit Valid 2013-05-30 40UCHJ
40UCHK Woolavington Quick edit Valid 2013-05-30 40UCHK
40UDJP Blackdown Quick edit Valid 2013-05-30 40UDJP
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?