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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 7,301 to 7,320.First362363364365366367368369Last
Id Label Status Status Modified Notation
30UEGK Clayton-le-Woods North Quick edit Valid 2013-05-30 30UEGK
30UEGL Clayton-le-Woods West and Cuerden Quick edit Valid 2013-05-30 30UEGL
30UEGM Coppull Quick edit Valid 2013-05-30 30UEGM
30UEGN Eccleston and Mawdesley Quick edit Valid 2013-05-30 30UEGN
30UEGP Euxton North Quick edit Valid 2013-05-30 30UEGP
30UEGQ Euxton South Quick edit Valid 2013-05-30 30UEGQ
30UEGR Heath Charnock and Rivington Quick edit Valid 2013-05-30 30UEGR
30UEGS Lostock Quick edit Valid 2013-05-30 30UEGS
30UEGT Pennine Quick edit Valid 2013-05-30 30UEGT
30UEGU Wheelton and Withnell Quick edit Valid 2013-05-30 30UEGU
30UFFZ Ansdell Quick edit Valid 2013-05-30 30UFFZ
30UFGA Ashton Quick edit Valid 2013-05-30 30UFGA
30UFGB Central Quick edit Valid 2013-05-30 30UFGB
30UFGC Clifton Quick edit Valid 2013-05-30 30UFGC
30UFGD Elswick and Little Eccleston Quick edit Valid 2013-05-30 30UFGD
30UFGE Fairhaven Quick edit Valid 2013-05-30 30UFGE
30UFGF Freckleton East Quick edit Valid 2013-05-30 30UFGF
30UFGG Freckleton West Quick edit Valid 2013-05-30 30UFGG
30UFGH Heyhouses Quick edit Valid 2013-05-30 30UFGH
30UFGJ Kilnhouse Quick edit Valid 2013-05-30 30UFGJ
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?