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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 761 to 780.First3536373839404142Last
Id Label Status Status Modified Notation
00BRFZ Broughton Quick edit Valid 2013-05-30 00BRFZ
00BRGA Cadishead Quick edit Valid 2013-05-30 00BRGA
00BRGB Claremont Quick edit Valid 2013-05-30 00BRGB
00BRGC Eccles Quick edit Valid 2013-05-30 00BRGC
00BRGD Irlam Quick edit Valid 2013-05-30 00BRGD
00BRGE Irwell Riverside Quick edit Valid 2013-05-30 00BRGE
00BRGF Kersal Quick edit Valid 2013-05-30 00BRGF
00BRGG Langworthy Quick edit Valid 2013-05-30 00BRGG
00BRGH Little Hulton Quick edit Valid 2013-05-30 00BRGH
00BRGJ Ordsall Quick edit Valid 2013-05-30 00BRGJ
00BRGK Pendlebury Quick edit Valid 2013-05-30 00BRGK
00BRGL Swinton North Quick edit Valid 2013-05-30 00BRGL
00BRGM Swinton South Quick edit Valid 2013-05-30 00BRGM
00BRGN Walkden North Quick edit Valid 2013-05-30 00BRGN
00BRGP Walkden South Quick edit Valid 2013-05-30 00BRGP
00BRGQ Weaste and Seedley Quick edit Valid 2013-05-30 00BRGQ
00BRGR Winton Quick edit Valid 2013-05-30 00BRGR
00BRGS Worsley Quick edit Valid 2013-05-30 00BRGS
00BSFY Bramhall North Quick edit Valid 2013-05-30 00BSFY
00BSFZ Bramhall South Quick edit Valid 2013-05-30 00BSFZ
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?