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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 7,501 to 7,520.First372373374375376377378379Last
Id Label Status Status Modified Notation
30UPHA Skelmersdale South Quick edit Valid 2013-05-30 30UPHA
30UPHB Tanhouse Quick edit Valid 2013-05-30 30UPHB
30UPHC Tarleton Quick edit Valid 2013-05-30 30UPHC
30UPHD Up Holland Quick edit Valid 2013-05-30 30UPHD
30UPHE Wrightington Quick edit Valid 2013-05-30 30UPHE
30UPHF Bickerstaffe Quick edit Valid 2013-05-30 30UPHF
30UPHG Newburgh Quick edit Valid 2013-05-30 30UPHG
30UQGE Bourne Quick edit Valid 2013-05-30 30UQGE
30UQGF Breck Quick edit Valid 2013-05-30 30UQGF
30UQGG Brock Quick edit Valid 2013-05-30 30UQGG
30UQGH Cabus Quick edit Valid 2013-05-30 30UQGH
30UQGJ Calder Quick edit Valid 2013-05-30 30UQGJ
30UQGK Carleton Quick edit Valid 2013-05-30 30UQGK
30UQGL Catterall Quick edit Valid 2013-05-30 30UQGL
30UQGM Cleveleys Park Quick edit Valid 2013-05-30 30UQGM
30UQGN Garstang Quick edit Valid 2013-05-30 30UQGN
30UQGP Great Eccleston Quick edit Valid 2013-05-30 30UQGP
30UQGQ Hambleton and Stalmine-with-Staynall Quick edit Valid 2013-05-30 30UQGQ
30UQGR Hardhorn Quick edit Valid 2013-05-30 30UQGR
30UQGS High Cross Quick edit Valid 2013-05-30 30UQGS
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?