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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 5,461 to 5,480.First270271272273274275276277Last
Id Label Status Status Modified Notation
16UEHA Moresby Quick edit Valid 2013-05-30 16UEHA
16UEHB Newtown Quick edit Valid 2013-05-30 16UEHB
16UEHC St Bees Quick edit Valid 2013-05-30 16UEHC
16UEHD Sandwith Quick edit Valid 2013-05-30 16UEHD
16UEHE Seascale Quick edit Valid 2013-05-30 16UEHE
16UFGF Alston Moor Quick edit Valid 2013-05-30 16UFGF
16UFGG Appleby (Appleby) Quick edit Valid 2013-05-30 16UFGG
16UFGH Appleby (Bongate) Quick edit Valid 2013-05-30 16UFGH
16UFGJ Askham Quick edit Valid 2013-05-30 16UFGJ
16UFGK Brough Quick edit Valid 2013-05-30 16UFGK
16UFGL Crosby Ravensworth Quick edit Valid 2013-05-30 16UFGL
16UFGM Dacre Quick edit Valid 2013-05-30 16UFGM
16UFGN Eamont Quick edit Valid 2013-05-30 16UFGN
16UFGP Greystoke Quick edit Valid 2013-05-30 16UFGP
16UFGQ Hartside Quick edit Valid 2013-05-30 16UFGQ
16UFGR Hesket Quick edit Valid 2013-05-30 16UFGR
16UFGS Kirkby Stephen Quick edit Valid 2013-05-30 16UFGS
16UFGT Kirkby Thore Quick edit Valid 2013-05-30 16UFGT
16UFGU Kirkoswald Quick edit Valid 2013-05-30 16UFGU
16UFGW Langwathby Quick edit Valid 2013-05-30 16UFGW
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?