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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 9,501 to 9,520.First472473474475476477478479Last
Id Label Status Status Modified Notation
45UCHF Wick with Toddington Quick edit Valid 2013-05-30 45UCHF
45UCHG Yapton Quick edit Valid 2013-05-30 45UCHG
45UDGM Bosham Quick edit Valid 2013-05-30 45UDGM
45UDGN Boxgrove Quick edit Valid 2013-05-30 45UDGN
45UDGP Bury Quick edit Valid 2013-05-30 45UDGP
45UDGQ Chichester East Quick edit Valid 2013-05-30 45UDGQ
45UDGR Chichester North Quick edit Valid 2013-05-30 45UDGR
45UDGS Chichester South Quick edit Valid 2013-05-30 45UDGS
45UDGT Chichester West Quick edit Valid 2013-05-30 45UDGT
45UDGU Donnington Quick edit Valid 2013-05-30 45UDGU
45UDGW Easebourne Quick edit Valid 2013-05-30 45UDGW
45UDGX East Wittering Quick edit Valid 2013-05-30 45UDGX
45UDGY Fernhurst Quick edit Valid 2013-05-30 45UDGY
45UDGZ Fishbourne Quick edit Valid 2013-05-30 45UDGZ
45UDHA Funtington Quick edit Valid 2013-05-30 45UDHA
45UDHB Harting Quick edit Valid 2013-05-30 45UDHB
45UDHC Lavant Quick edit Valid 2013-05-30 45UDHC
45UDHD Midhurst Quick edit Valid 2013-05-30 45UDHD
45UDHE North Mundham Quick edit Valid 2013-05-30 45UDHE
45UDHF Petworth Quick edit Valid 2013-05-30 45UDHF
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?