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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 6,121 to 6,140.First303304305306307308309310Last
Id Label Status Status Modified Notation
21UHGX Danehill/Fletching/Nutley Quick edit Valid 2013-05-30 21UHGX
21UHGY East Dean Quick edit Valid 2013-05-30 21UHGY
21UHGZ Forest Row Quick edit Valid 2013-05-30 21UHGZ
21UHHA Framfield Quick edit Valid 2013-05-30 21UHHA
21UHHB Frant/Withyham Quick edit Valid 2013-05-30 21UHHB
21UHHC Hailsham Central and North Quick edit Valid 2013-05-30 21UHHC
21UHHD Hailsham East Quick edit Valid 2013-05-30 21UHHD
21UHHE Hailsham South and West Quick edit Valid 2013-05-30 21UHHE
21UHHF Hartfield Quick edit Valid 2013-05-30 21UHHF
21UHHG Heathfield East Quick edit Valid 2013-05-30 21UHHG
21UHHH Heathfield North and Central Quick edit Valid 2013-05-30 21UHHH
21UHHJ Hellingly Quick edit Valid 2013-05-30 21UHHJ
21UHHK Herstmonceux Quick edit Valid 2013-05-30 21UHHK
21UHHL Horam Quick edit Valid 2013-05-30 21UHHL
21UHHM Mayfield Quick edit Valid 2013-05-30 21UHHM
21UHHN Ninfield and Hooe with Wartling Quick edit Valid 2013-05-30 21UHHN
21UHHP Pevensey and Westham Quick edit Valid 2013-05-30 21UHHP
21UHHQ Polegate North Quick edit Valid 2013-05-30 21UHHQ
21UHHR Polegate South Quick edit Valid 2013-05-30 21UHHR
21UHHS Rotherfield Quick edit Valid 2013-05-30 21UHHS
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?