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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 7,081 to 7,100.First351352353354355356357358Last
Id Label Status Status Modified Notation
29UEGX Ringwould Quick edit Valid 2013-05-30 29UEGX
29UEGY River Quick edit Valid 2013-05-30 29UEGY
29UEGZ St Margaret's-at-Cliffe Quick edit Valid 2013-05-30 29UEGZ
29UEHA St Radigunds Quick edit Valid 2013-05-30 29UEHA
29UEHB Sandwich Quick edit Valid 2013-05-30 29UEHB
29UEHC Tower Hamlets Quick edit Valid 2013-05-30 29UEHC
29UEHD Town and Pier Quick edit Valid 2013-05-30 29UEHD
29UEHE Walmer Quick edit Valid 2013-05-30 29UEHE
29UEHF Whitfield Quick edit Valid 2013-05-30 29UEHF
29UGFW Central Quick edit Valid 2013-05-30 29UGFW
29UGFX Chalk Quick edit Valid 2013-05-30 29UGFX
29UGFY Coldharbour Quick edit Valid 2013-05-30 29UGFY
29UGFZ Higham Quick edit Valid 2013-05-30 29UGFZ
29UGGA Istead Rise Quick edit Valid 2013-05-30 29UGGA
29UGGB Meopham North Quick edit Valid 2013-05-30 29UGGB
29UGGC Meopham South and Vigo Quick edit Valid 2013-05-30 29UGGC
29UGGD Northfleet North Quick edit Valid 2013-05-30 29UGGD
29UGGE Northfleet South Quick edit Valid 2013-05-30 29UGGE
29UGGF Painters Ash Quick edit Valid 2013-05-30 29UGGF
29UGGG Pelham Quick edit Valid 2013-05-30 29UGGG
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?