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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 5,661 to 5,680.First280281282283284285286287Last
Id Label Status Status Modified Notation
17UHGP Hadfield South Quick edit Valid 2013-05-30 17UHGP
17UHGQ Hayfield Quick edit Valid 2013-05-30 17UHGQ
17UHGR Hope Valley Quick edit Valid 2013-05-30 17UHGR
17UHGS Howard Town Quick edit Valid 2013-05-30 17UHGS
17UHGT Limestone Peak Quick edit Valid 2013-05-30 17UHGT
17UHGU New Mills East Quick edit Valid 2013-05-30 17UHGU
17UHGW New Mills West Quick edit Valid 2013-05-30 17UHGW
17UHGX Old Glossop Quick edit Valid 2013-05-30 17UHGX
17UHGY Padfield Quick edit Valid 2013-05-30 17UHGY
17UHGZ St John's Quick edit Valid 2013-05-30 17UHGZ
17UHHA Sett Quick edit Valid 2013-05-30 17UHHA
17UHHB Simmondley Quick edit Valid 2013-05-30 17UHHB
17UHHC Stone Bench Quick edit Valid 2013-05-30 17UHHC
17UHHD Temple Quick edit Valid 2013-05-30 17UHHD
17UHHE Tintwistle Quick edit Valid 2013-05-30 17UHHE
17UHHF Whaley Bridge Quick edit Valid 2013-05-30 17UHHF
17UHHG Whitfield Quick edit Valid 2013-05-30 17UHHG
17UJGD Ashover Quick edit Valid 2013-05-30 17UJGD
17UJGE Barlow and Holmesfield Quick edit Valid 2013-05-30 17UJGE
17UJGF Brampton and Walton Quick edit Valid 2013-05-30 17UJGF
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?