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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 8,221 to 8,240.First408409410411412413414415Last
Id Label Status Status Modified Notation
36UCGT Great Ayton Quick edit Valid 2013-05-30 36UCGT
36UCGU Helperby Quick edit Valid 2013-05-30 36UCGU
36UCGW Huby and Sutton Quick edit Valid 2013-05-30 36UCGW
36UCGX Leeming Quick edit Valid 2013-05-30 36UCGX
36UCGY Leeming Bar Quick edit Valid 2013-05-30 36UCGY
36UCGZ Morton-on-Swale Quick edit Valid 2013-05-30 36UCGZ
36UCHA Northallerton Broomfield Quick edit Valid 2013-05-30 36UCHA
36UCHB Northallerton Central Quick edit Valid 2013-05-30 36UCHB
36UCHC Northallerton North Quick edit Valid 2013-05-30 36UCHC
36UCHD Osmotherley Quick edit Valid 2013-05-30 36UCHD
36UCHE Romanby Quick edit Valid 2013-05-30 36UCHE
36UCHF Rudby Quick edit Valid 2013-05-30 36UCHF
36UCHG Shipton Quick edit Valid 2013-05-30 36UCHG
36UCHH Sowerby Quick edit Valid 2013-05-30 36UCHH
36UCHJ Stillington Quick edit Valid 2013-05-30 36UCHJ
36UCHK Stokesley Quick edit Valid 2013-05-30 36UCHK
36UCHL Swainby Quick edit Valid 2013-05-30 36UCHL
36UCHM Tanfield Quick edit Valid 2013-05-30 36UCHM
36UCHN Thirsk Quick edit Valid 2013-05-30 36UCHN
36UCHP Thorntons Quick edit Valid 2013-05-30 36UCHP
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?