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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 521 to 540.First2324252627282930Last
Id Label Status Status Modified Notation
00BDGB Hampton North Quick edit Valid 2013-05-30 00BDGB
00BDGC Hampton Wick Quick edit Valid 2013-05-30 00BDGC
00BDGD Heathfield Quick edit Valid 2013-05-30 00BDGD
00BDGE Kew Quick edit Valid 2013-05-30 00BDGE
00BDGF Mortlake and Barnes Common Quick edit Valid 2013-05-30 00BDGF
00BDGG North Richmond Quick edit Valid 2013-05-30 00BDGG
00BDGH St Margarets and North Twickenham Quick edit Valid 2013-05-30 00BDGH
00BDGJ South Richmond Quick edit Valid 2013-05-30 00BDGJ
00BDGK South Twickenham Quick edit Valid 2013-05-30 00BDGK
00BDGL Teddington Quick edit Valid 2013-05-30 00BDGL
00BDGM Twickenham Riverside Quick edit Valid 2013-05-30 00BDGM
00BDGN West Twickenham Quick edit Valid 2013-05-30 00BDGN
00BDGP Whitton Quick edit Valid 2013-05-30 00BDGP
00BEGC Brunswick Park Quick edit Valid 2013-05-30 00BEGC
00BEGD Camberwell Green Quick edit Valid 2013-05-30 00BEGD
00BEGE Cathedrals Quick edit Valid 2013-05-30 00BEGE
00BEGF Chaucer Quick edit Valid 2013-05-30 00BEGF
00BEGG College Quick edit Valid 2013-05-30 00BEGG
00BEGH East Dulwich Quick edit Valid 2013-05-30 00BEGH
00BEGJ East Walworth Quick edit Valid 2013-05-30 00BEGJ
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?