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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 101 to 120.First23456789Last
Id Label Status Status Modified Notation
00AEHB Sudbury Quick edit Valid 2013-05-30 00AEHB
00AEHC Tokyngton Quick edit Valid 2013-05-30 00AEHC
00AEHD Welsh Harp Quick edit Valid 2013-05-30 00AEHD
00AEHE Wembley Central Quick edit Valid 2013-05-30 00AEHE
00AEHF Willesden Green Quick edit Valid 2013-05-30 00AEHF
00AFGD Bickley Quick edit Valid 2013-05-30 00AFGD
00AFGE Biggin Hill Quick edit Valid 2013-05-30 00AFGE
00AFGF Bromley Common and Keston Quick edit Valid 2013-05-30 00AFGF
00AFGG Bromley Town Quick edit Valid 2013-05-30 00AFGG
00AFGH Chelsfield and Pratts Bottom Quick edit Valid 2013-05-30 00AFGH
00AFGJ Chislehurst Quick edit Valid 2013-05-30 00AFGJ
00AFGK Clock House Quick edit Valid 2013-05-30 00AFGK
00AFGL Copers Cope Quick edit Valid 2013-05-30 00AFGL
00AFGM Cray Valley East Quick edit Valid 2013-05-30 00AFGM
00AFGN Cray Valley West Quick edit Valid 2013-05-30 00AFGN
00AFGP Crystal Palace Quick edit Valid 2013-05-30 00AFGP
00AFGQ Darwin Quick edit Valid 2013-05-30 00AFGQ
00AFGR Farnborough and Crofton Quick edit Valid 2013-05-30 00AFGR
00AFGS Hayes and Coney Hall Quick edit Valid 2013-05-30 00AFGS
00AFGT Kelsey and Eden Park Quick edit Valid 2013-05-30 00AFGT
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?