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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 501 to 520.First2223242526272829Last
Id Label Status Status Modified Notation
00BCGE Clementswood Quick edit Valid 2013-05-30 00BCGE
00BCGF Cranbrook Quick edit Valid 2013-05-30 00BCGF
00BCGG Fairlop Quick edit Valid 2013-05-30 00BCGG
00BCGH Fullwell Quick edit Valid 2013-05-30 00BCGH
00BCGJ Goodmayes Quick edit Valid 2013-05-30 00BCGJ
00BCGK Hainault Quick edit Valid 2013-05-30 00BCGK
00BCGL Loxford Quick edit Valid 2013-05-30 00BCGL
00BCGM Mayfield Quick edit Valid 2013-05-30 00BCGM
00BCGN Monkhams Quick edit Valid 2013-05-30 00BCGN
00BCGP Newbury Quick edit Valid 2013-05-30 00BCGP
00BCGQ Roding Quick edit Valid 2013-05-30 00BCGQ
00BCGR Seven Kings Quick edit Valid 2013-05-30 00BCGR
00BCGS Snaresbrook Quick edit Valid 2013-05-30 00BCGS
00BCGT Valentines Quick edit Valid 2013-05-30 00BCGT
00BCGU Wanstead Quick edit Valid 2013-05-30 00BCGU
00BDFW Barnes Quick edit Valid 2013-05-30 00BDFW
00BDFX East Sheen Quick edit Valid 2013-05-30 00BDFX
00BDFY Fulwell and Hampton Hill Quick edit Valid 2013-05-30 00BDFY
00BDFZ Ham, Petersham and Richmond Riverside Quick edit Valid 2013-05-30 00BDFZ
00BDGA Hampton Quick edit Valid 2013-05-30 00BDGA
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?