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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 621 to 640.First2829303132333435Last
Id Label Status Status Modified Notation
00BJGL Roehampton Quick edit Valid 2013-05-30 00BJGL
00BJGM St Mary's Park Quick edit Valid 2013-05-30 00BJGM
00BJGN Shaftesbury Quick edit Valid 2013-05-30 00BJGN
00BJGP Southfields Quick edit Valid 2013-05-30 00BJGP
00BJGQ Thamesfield Quick edit Valid 2013-05-30 00BJGQ
00BJGR Tooting Quick edit Valid 2013-05-30 00BJGR
00BJGS Wandsworth Common Quick edit Valid 2013-05-30 00BJGS
00BJGT West Hill Quick edit Valid 2013-05-30 00BJGT
00BJGU West Putney Quick edit Valid 2013-05-30 00BJGU
00BKGA Abbey Road Quick edit Valid 2013-05-30 00BKGA
00BKGB Bayswater Quick edit Valid 2013-05-30 00BKGB
00BKGC Bryanston and Dorset Square Quick edit Valid 2013-05-30 00BKGC
00BKGD Churchill Quick edit Valid 2013-05-30 00BKGD
00BKGE Church Street Quick edit Valid 2013-05-30 00BKGE
00BKGF Harrow Road Quick edit Valid 2013-05-30 00BKGF
00BKGG Hyde Park Quick edit Valid 2013-05-30 00BKGG
00BKGH Knightsbridge and Belgravia Quick edit Valid 2013-05-30 00BKGH
00BKGJ Lancaster Gate Quick edit Valid 2013-05-30 00BKGJ
00BKGK Little Venice Quick edit Valid 2013-05-30 00BKGK
00BKGL Maida Vale Quick edit Valid 2013-05-30 00BKGL
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?