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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 7,041 to 7,060.First349350351352353354355356Last
Id Label Status Status Modified Notation
29UCGR North Nailbourne Quick edit Valid 2013-05-30 29UCGR
29UCGS Northgate Quick edit Valid 2013-05-30 29UCGS
29UCGT Reculver Quick edit Valid 2013-05-30 29UCGT
29UCGU St Stephens Quick edit Valid 2013-05-30 29UCGU
29UCGW Seasalter Quick edit Valid 2013-05-30 29UCGW
29UCGX Sturry North Quick edit Valid 2013-05-30 29UCGX
29UCGY Sturry South Quick edit Valid 2013-05-30 29UCGY
29UCGZ Tankerton Quick edit Valid 2013-05-30 29UCGZ
29UCHA West Bay Quick edit Valid 2013-05-30 29UCHA
29UCHB Westgate Quick edit Valid 2013-05-30 29UCHB
29UCHC Wincheap Quick edit Valid 2013-05-30 29UCHC
29UDGA Bean and Darenth Quick edit Valid 2013-05-30 29UDGA
29UDGB Brent Quick edit Valid 2013-05-30 29UDGB
29UDGC Castle Quick edit Valid 2013-05-30 29UDGC
29UDGD Greenhithe Quick edit Valid 2013-05-30 29UDGD
29UDGE Heath Quick edit Valid 2013-05-30 29UDGE
29UDGF Joyce Green Quick edit Valid 2013-05-30 29UDGF
29UDGG Joydens Wood Quick edit Valid 2013-05-30 29UDGG
29UDGH Littlebrook Quick edit Valid 2013-05-30 29UDGH
29UDGJ Longfield, New Barn and Southfleet Quick edit Valid 2013-05-30 29UDGJ
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?