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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 7,441 to 7,460.First369370371372373374375376Last
Id Label Status Status Modified Notation
30ULHB Wiswell and Pendleton Quick edit Valid 2013-05-30 30ULHB
30UMFP Cribden Quick edit Valid 2013-05-30 30UMFP
30UMFQ Eden Quick edit Valid 2013-05-30 30UMFQ
30UMFR Facit and Shawforth Quick edit Valid 2013-05-30 30UMFR
30UMFS Goodshaw Quick edit Valid 2013-05-30 30UMFS
30UMFT Greenfield Quick edit Valid 2013-05-30 30UMFT
30UMFU Greensclough Quick edit Valid 2013-05-30 30UMFU
30UMFW Hareholme Quick edit Valid 2013-05-30 30UMFW
30UMFX Healey and Whitworth Quick edit Valid 2013-05-30 30UMFX
30UMFY Helmshore Quick edit Valid 2013-05-30 30UMFY
30UMFZ Irwell Quick edit Valid 2013-05-30 30UMFZ
30UMGA Longholme Quick edit Valid 2013-05-30 30UMGA
30UMGB Stacksteads Quick edit Valid 2013-05-30 30UMGB
30UMGC Whitewell Quick edit Valid 2013-05-30 30UMGC
30UMGD Worsley Quick edit Valid 2013-05-30 30UMGD
30UNFZ Bamber Bridge East Quick edit Valid 2013-05-30 30UNFZ
30UNGA Bamber Bridge North Quick edit Valid 2013-05-30 30UNGA
30UNGB Bamber Bridge West Quick edit Valid 2013-05-30 30UNGB
30UNGC Broad Oak Quick edit Valid 2013-05-30 30UNGC
30UNGD Charnock Quick edit Valid 2013-05-30 30UNGD
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?