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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 8,981 to 9,000.First446447448449450451452453Last
Id Label Status Status Modified Notation
42UBGM Brook Quick edit Valid 2013-05-30 42UBGM
42UBGN Bures St Mary Quick edit Valid 2013-05-30 42UBGN
42UBGP Chadacre Quick edit Valid 2013-05-30 42UBGP
42UBGQ Dodnash Quick edit Valid 2013-05-30 42UBGQ
42UBGR Glemsford and Stanstead Quick edit Valid 2013-05-30 42UBGR
42UBGS Great Cornard North Quick edit Valid 2013-05-30 42UBGS
42UBGT Great Cornard South Quick edit Valid 2013-05-30 42UBGT
42UBGU Hadleigh North Quick edit Valid 2013-05-30 42UBGU
42UBGW Hadleigh South Quick edit Valid 2013-05-30 42UBGW
42UBGX Holbrook Quick edit Valid 2013-05-30 42UBGX
42UBGY Lavenham Quick edit Valid 2013-05-30 42UBGY
42UBGZ Leavenheath Quick edit Valid 2013-05-30 42UBGZ
42UBHA Long Melford Quick edit Valid 2013-05-30 42UBHA
42UBHB Lower Brett Quick edit Valid 2013-05-30 42UBHB
42UBHC Mid Samford Quick edit Valid 2013-05-30 42UBHC
42UBHD Nayland Quick edit Valid 2013-05-30 42UBHD
42UBHE North Cosford Quick edit Valid 2013-05-30 42UBHE
42UBHF Pinewood Quick edit Valid 2013-05-30 42UBHF
42UBHG South Cosford Quick edit Valid 2013-05-30 42UBHG
42UBHH Sudbury East Quick edit Valid 2013-05-30 42UBHH
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?