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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 9,281 to 9,300.First461462463464465466467468Last
Id Label Status Status Modified Notation
43UJFY Heatherside Quick edit Valid 2013-05-30 43UJFY
43UJFZ Lightwater Quick edit Valid 2013-05-30 43UJFZ
43UJGA Mytchett and Deepcut Quick edit Valid 2013-05-30 43UJGA
43UJGB Old Dean Quick edit Valid 2013-05-30 43UJGB
43UJGC Parkside Quick edit Valid 2013-05-30 43UJGC
43UJGD St Michaels Quick edit Valid 2013-05-30 43UJGD
43UJGE St Pauls Quick edit Valid 2013-05-30 43UJGE
43UJGF Town Quick edit Valid 2013-05-30 43UJGF
43UJGG Watchetts Quick edit Valid 2013-05-30 43UJGG
43UJGH West End Quick edit Valid 2013-05-30 43UJGH
43UJGJ Windlesham Quick edit Valid 2013-05-30 43UJGJ
43UKGA Chaldon Quick edit Valid 2013-05-30 43UKGA
43UKGB Dormansland and Felcourt Quick edit Valid 2013-05-30 43UKGB
43UKGC Felbridge Quick edit Valid 2013-05-30 43UKGC
43UKGD Godstone Quick edit Valid 2013-05-30 43UKGD
43UKGE Harestone Quick edit Valid 2013-05-30 43UKGE
43UKGF Limpsfield Quick edit Valid 2013-05-30 43UKGF
43UKGG Lingfield and Crowhurst Quick edit Valid 2013-05-30 43UKGG
43UKGH Oxted North and Tandridge Quick edit Valid 2013-05-30 43UKGH
43UKGJ Oxted South Quick edit Valid 2013-05-30 43UKGJ
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?