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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 541 to 560.First2425262728293031Last
Id Label Status Status Modified Notation
00BEGK Faraday Quick edit Valid 2013-05-30 00BEGK
00BEGL Grange Quick edit Valid 2013-05-30 00BEGL
00BEGM Livesey Quick edit Valid 2013-05-30 00BEGM
00BEGN Newington Quick edit Valid 2013-05-30 00BEGN
00BEGP Nunhead Quick edit Valid 2013-05-30 00BEGP
00BEGQ Peckham Quick edit Valid 2013-05-30 00BEGQ
00BEGR Peckham Rye Quick edit Valid 2013-05-30 00BEGR
00BEGS Riverside Quick edit Valid 2013-05-30 00BEGS
00BEGT Rotherhithe Quick edit Valid 2013-05-30 00BEGT
00BEGU South Bermondsey Quick edit Valid 2013-05-30 00BEGU
00BEGW South Camberwell Quick edit Valid 2013-05-30 00BEGW
00BEGX Surrey Docks Quick edit Valid 2013-05-30 00BEGX
00BEGY The Lane Quick edit Valid 2013-05-30 00BEGY
00BEGZ Village Quick edit Valid 2013-05-30 00BEGZ
00BFGC Beddington North Quick edit Valid 2013-05-30 00BFGC
00BFGD Beddington South Quick edit Valid 2013-05-30 00BFGD
00BFGE Belmont Quick edit Valid 2013-05-30 00BFGE
00BFGF Carshalton Central Quick edit Valid 2013-05-30 00BFGF
00BFGG Carshalton South and Clockhouse Quick edit Valid 2013-05-30 00BFGG
00BFGH Cheam Quick edit Valid 2013-05-30 00BFGH
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?