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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 701 to 720.First3233343536373839Last
Id Label Status Status Modified Notation
00BNHB Fallowfield Quick edit Valid 2013-05-30 00BNHB
00BNHC Gorton North Quick edit Valid 2013-05-30 00BNHC
00BNHD Gorton South Quick edit Valid 2013-05-30 00BNHD
00BNHE Harpurhey Quick edit Valid 2013-05-30 00BNHE
00BNHF Higher Blackley Quick edit Valid 2013-05-30 00BNHF
00BNHG Hulme Quick edit Valid 2013-05-30 00BNHG
00BNHH Levenshulme Quick edit Valid 2013-05-30 00BNHH
00BNHJ Longsight Quick edit Valid 2013-05-30 00BNHJ
00BNHK Miles Platting and Newton Heath Quick edit Valid 2013-05-30 00BNHK
00BNHL Moss Side Quick edit Valid 2013-05-30 00BNHL
00BNHM Moston Quick edit Valid 2013-05-30 00BNHM
00BNHN Northenden Quick edit Valid 2013-05-30 00BNHN
00BNHP Old Moat Quick edit Valid 2013-05-30 00BNHP
00BNHQ Rusholme Quick edit Valid 2013-05-30 00BNHQ
00BNHR Sharston Quick edit Valid 2013-05-30 00BNHR
00BNHS Whalley Range Quick edit Valid 2013-05-30 00BNHS
00BNHT Withington Quick edit Valid 2013-05-30 00BNHT
00BNHU Woodhouse Park Quick edit Valid 2013-05-30 00BNHU
00BPFX Alexandra Quick edit Valid 2013-05-30 00BPFX
00BPFY Chadderton Central Quick edit Valid 2013-05-30 00BPFY
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?