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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 7,941 to 7,960.First394395396397398399400401Last
Id Label Status Status Modified Notation
33UEHJ Grimston Quick edit Valid 2013-05-30 33UEHJ
33UEHK Heacham Quick edit Valid 2013-05-30 33UEHK
33UEHL Hilgay with Denver Quick edit Valid 2013-05-30 33UEHL
33UEHM Hunstanton Quick edit Valid 2013-05-30 33UEHM
33UEHN Mershe Lande Quick edit Valid 2013-05-30 33UEHN
33UEHP North Downham Quick edit Valid 2013-05-30 33UEHP
33UEHQ North Lynn Quick edit Valid 2013-05-30 33UEHQ
33UEHR North Wootton Quick edit Valid 2013-05-30 33UEHR
33UEHS Old Gaywood Quick edit Valid 2013-05-30 33UEHS
33UEHT Priory Quick edit Valid 2013-05-30 33UEHT
33UEHU Rudham Quick edit Valid 2013-05-30 33UEHU
33UEHW St Lawrence Quick edit Valid 2013-05-30 33UEHW
33UEHX St Margarets with St Nicholas Quick edit Valid 2013-05-30 33UEHX
33UEHY Snettisham Quick edit Valid 2013-05-30 33UEHY
33UEHZ South and West Lynn Quick edit Valid 2013-05-30 33UEHZ
33UEJA South Downham Quick edit Valid 2013-05-30 33UEJA
33UEJB South Wootton Quick edit Valid 2013-05-30 33UEJB
33UEJC Spellowfields Quick edit Valid 2013-05-30 33UEJC
33UEJD Springwood Quick edit Valid 2013-05-30 33UEJD
33UEJE Upwell and Delph Quick edit Valid 2013-05-30 33UEJE
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?