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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 6,481 to 6,500.First321322323324325326327328Last
Id Label Status Status Modified Notation
23UDHB Newent Central Quick edit Valid 2013-05-30 23UDHB
23UDHC Newland and St Briavels Quick edit Valid 2013-05-30 23UDHC
23UDHD Newnham and Westbury Quick edit Valid 2013-05-30 23UDHD
23UDHE Oxenhall and Newent North East Quick edit Valid 2013-05-30 23UDHE
23UDHF Pillowell Quick edit Valid 2013-05-30 23UDHF
23UDHG Redmarley Quick edit Valid 2013-05-30 23UDHG
23UDHH Tibberton Quick edit Valid 2013-05-30 23UDHH
23UDHJ Tidenham Quick edit Valid 2013-05-30 23UDHJ
23UEFR Abbey Quick edit Valid 2013-05-30 23UEFR
23UEFS Barnwood Quick edit Valid 2013-05-30 23UEFS
23UEFT Barton and Tredworth Quick edit Valid 2013-05-30 23UEFT
23UEFU Elmbridge Quick edit Valid 2013-05-30 23UEFU
23UEFW Grange Quick edit Valid 2013-05-30 23UEFW
23UEFX Hucclecote Quick edit Valid 2013-05-30 23UEFX
23UEFY Kingsholm and Wotton Quick edit Valid 2013-05-30 23UEFY
23UEFZ Longlevens Quick edit Valid 2013-05-30 23UEFZ
23UEGA Matson and Robinswood Quick edit Valid 2013-05-30 23UEGA
23UEGB Moreland Quick edit Valid 2013-05-30 23UEGB
23UEGC Podsmead Quick edit Valid 2013-05-30 23UEGC
23UEGD Quedgeley Fieldcourt Quick edit Valid 2013-05-30 23UEGD
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?