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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 8,721 to 8,740.First433434435436437438439440Last
Id Label Status Status Modified Notation
40UDJQ Blackmoor Vale Quick edit Valid 2013-05-30 40UDJQ
40UDJR Bruton Quick edit Valid 2013-05-30 40UDJR
40UDJS Brympton Quick edit Valid 2013-05-30 40UDJS
40UDJT Burrow Hill Quick edit Valid 2013-05-30 40UDJT
40UDJU Camelot Quick edit Valid 2013-05-30 40UDJU
40UDJW Cary Quick edit Valid 2013-05-30 40UDJW
40UDJX Chard Avishayes Quick edit Valid 2013-05-30 40UDJX
40UDJY Chard Combe Quick edit Valid 2013-05-30 40UDJY
40UDJZ Chard Crimchard Quick edit Valid 2013-05-30 40UDJZ
40UDKA Chard Holyrood Quick edit Valid 2013-05-30 40UDKA
40UDKB Chard Jocelyn Quick edit Valid 2013-05-30 40UDKB
40UDKC Coker Quick edit Valid 2013-05-30 40UDKC
40UDKD Crewkerne Quick edit Valid 2013-05-30 40UDKD
40UDKE Curry Rivel Quick edit Valid 2013-05-30 40UDKE
40UDKF Eggwood Quick edit Valid 2013-05-30 40UDKF
40UDKG Hamdon Quick edit Valid 2013-05-30 40UDKG
40UDKH Ilminster Quick edit Valid 2013-05-30 40UDKH
40UDKJ Islemoor Quick edit Valid 2013-05-30 40UDKJ
40UDKK Ivelchester Quick edit Valid 2013-05-30 40UDKK
40UDKL Langport and Huish Quick edit Valid 2013-05-30 40UDKL
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?