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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 7,961 to 7,980.First395396397398399400401402Last
Id Label Status Status Modified Notation
33UEJF Valley Hill Quick edit Valid 2013-05-30 33UEJF
33UEJG Walpole Quick edit Valid 2013-05-30 33UEJG
33UEJH Walton Quick edit Valid 2013-05-30 33UEJH
33UEJJ Watlington Quick edit Valid 2013-05-30 33UEJJ
33UEJK West Winch Quick edit Valid 2013-05-30 33UEJK
33UEJL Wiggenhall Quick edit Valid 2013-05-30 33UEJL
33UEJM Wimbotsham with Fincham Quick edit Valid 2013-05-30 33UEJM
33UEJN Wissey Quick edit Valid 2013-05-30 33UEJN
33UFGP Astley Quick edit Valid 2013-05-30 33UFGP
33UFGQ Briston Quick edit Valid 2013-05-30 33UFGQ
33UFGR Chaucer Quick edit Valid 2013-05-30 33UFGR
33UFGS Corpusty Quick edit Valid 2013-05-30 33UFGS
33UFGT Cromer Town Quick edit Valid 2013-05-30 33UFGT
33UFGU Erpingham Quick edit Valid 2013-05-30 33UFGU
33UFGW Gaunt Quick edit Valid 2013-05-30 33UFGW
33UFGX Glaven Valley Quick edit Valid 2013-05-30 33UFGX
33UFGY Happisburgh Quick edit Valid 2013-05-30 33UFGY
33UFGZ High Heath Quick edit Valid 2013-05-30 33UFGZ
33UFHA Holt Quick edit Valid 2013-05-30 33UFHA
33UFHB Hoveton Quick edit Valid 2013-05-30 33UFHB
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?