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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 7,861 to 7,880.First390391392393394395396397Last
Id Label Status Status Modified Notation
33UBHK Mid Forest Quick edit Valid 2013-05-30 33UBHK
33UBHL Nar Valley Quick edit Valid 2013-05-30 33UBHL
33UBHM Necton Quick edit Valid 2013-05-30 33UBHM
33UBHN Queen's Quick edit Valid 2013-05-30 33UBHN
33UBHP Shipdham Quick edit Valid 2013-05-30 33UBHP
33UBHQ Springvale and Scarning Quick edit Valid 2013-05-30 33UBHQ
33UBHR Swaffham Quick edit Valid 2013-05-30 33UBHR
33UBHS Swanton Morley Quick edit Valid 2013-05-30 33UBHS
33UBHT Taverner Quick edit Valid 2013-05-30 33UBHT
33UBHU Templar Quick edit Valid 2013-05-30 33UBHU
33UBHW Thetford-Abbey Quick edit Valid 2013-05-30 33UBHW
33UBHX Thetford-Castle Quick edit Valid 2013-05-30 33UBHX
33UBHY Thetford-Guildhall Quick edit Valid 2013-05-30 33UBHY
33UBHZ Thetford-Saxon Quick edit Valid 2013-05-30 33UBHZ
33UBJA Two Rivers Quick edit Valid 2013-05-30 33UBJA
33UBJB Upper Wensum Quick edit Valid 2013-05-30 33UBJB
33UBJC Upper Yare Quick edit Valid 2013-05-30 33UBJC
33UBJD Watton Quick edit Valid 2013-05-30 33UBJD
33UBJE Wayland Quick edit Valid 2013-05-30 33UBJE
33UBJF Weeting Quick edit Valid 2013-05-30 33UBJF
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?