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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 241 to 260.First910111213141516Last
Id Label Status Status Modified Notation
00AMGL King's Park Quick edit Valid 2013-05-30 00AMGL
00AMGM Leabridge Quick edit Valid 2013-05-30 00AMGM
00AMGN Lordship Quick edit Valid 2013-05-30 00AMGN
00AMGP New River Quick edit Valid 2013-05-30 00AMGP
00AMGQ Queensbridge Quick edit Valid 2013-05-30 00AMGQ
00AMGR Springfield Quick edit Valid 2013-05-30 00AMGR
00AMGS Stoke Newington Central Quick edit Valid 2013-05-30 00AMGS
00AMGT Victoria Quick edit Valid 2013-05-30 00AMGT
00AMGU Wick Quick edit Valid 2013-05-30 00AMGU
00ANGA Addison Quick edit Valid 2013-05-30 00ANGA
00ANGB Askew Quick edit Valid 2013-05-30 00ANGB
00ANGC Avonmore and Brook Green Quick edit Valid 2013-05-30 00ANGC
00ANGD College Park and Old Oak Quick edit Valid 2013-05-30 00ANGD
00ANGE Fulham Broadway Quick edit Valid 2013-05-30 00ANGE
00ANGF Fulham Reach Quick edit Valid 2013-05-30 00ANGF
00ANGG Hammersmith Broadway Quick edit Valid 2013-05-30 00ANGG
00ANGH Munster Quick edit Valid 2013-05-30 00ANGH
00ANGJ North End Quick edit Valid 2013-05-30 00ANGJ
00ANGK Palace Riverside Quick edit Valid 2013-05-30 00ANGK
00ANGL Parsons Green and Walham Quick edit Valid 2013-05-30 00ANGL
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?