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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 7,121 to 7,140.First353354355356357358359360Last
Id Label Status Status Modified Notation
29UHGU Heath Quick edit Valid 2013-05-30 29UHGU
29UHGW High Street Quick edit Valid 2013-05-30 29UHGW
29UHGX Leeds Quick edit Valid 2013-05-30 29UHGX
29UHGY Loose Quick edit Valid 2013-05-30 29UHGY
29UHGZ Marden and Yalding Quick edit Valid 2013-05-30 29UHGZ
29UHHA North Quick edit Valid 2013-05-30 29UHHA
29UHHB North Downs Quick edit Valid 2013-05-30 29UHHB
29UHHC Park Wood Quick edit Valid 2013-05-30 29UHHC
29UHHD Shepway North Quick edit Valid 2013-05-30 29UHHD
29UHHE Shepway South Quick edit Valid 2013-05-30 29UHHE
29UHHF South Quick edit Valid 2013-05-30 29UHHF
29UHHG Staplehurst Quick edit Valid 2013-05-30 29UHHG
29UHHH Sutton Valence and Langley Quick edit Valid 2013-05-30 29UHHH
29UKGK Ash Quick edit Valid 2013-05-30 29UKGK
29UKGL Brasted, Chevening and Sundridge Quick edit Valid 2013-05-30 29UKGL
29UKGM Cowden and Hever Quick edit Valid 2013-05-30 29UKGM
29UKGN Crockenhill and Well Hill Quick edit Valid 2013-05-30 29UKGN
29UKGP Dunton Green and Riverhead Quick edit Valid 2013-05-30 29UKGP
29UKGQ Edenbridge North and East Quick edit Valid 2013-05-30 29UKGQ
29UKGR Edenbridge South and West Quick edit Valid 2013-05-30 29UKGR
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?