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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 6,901 to 6,920.First342343344345346347348349Last
Id Label Status Status Modified Notation
26UFHW Knebworth Quick edit Valid 2013-05-30 26UFHW
26UFHX Letchworth East Quick edit Valid 2013-05-30 26UFHX
26UFHY Letchworth Grange Quick edit Valid 2013-05-30 26UFHY
26UFHZ Letchworth South East Quick edit Valid 2013-05-30 26UFHZ
26UFJA Letchworth South West Quick edit Valid 2013-05-30 26UFJA
26UFJB Letchworth Wilbury Quick edit Valid 2013-05-30 26UFJB
26UFJC Royston Heath Quick edit Valid 2013-05-30 26UFJC
26UFJD Royston Meridian Quick edit Valid 2013-05-30 26UFJD
26UFJE Royston Palace Quick edit Valid 2013-05-30 26UFJE
26UFJF Weston and Sandon Quick edit Valid 2013-05-30 26UFJF
26UGFX Ashley Quick edit Valid 2013-05-30 26UGFX
26UGFY Batchwood Quick edit Valid 2013-05-30 26UGFY
26UGFZ Clarence Quick edit Valid 2013-05-30 26UGFZ
26UGGA Colney Heath Quick edit Valid 2013-05-30 26UGGA
26UGGB Cunningham Quick edit Valid 2013-05-30 26UGGB
26UGGC Harpenden East Quick edit Valid 2013-05-30 26UGGC
26UGGD Harpenden North Quick edit Valid 2013-05-30 26UGGD
26UGGE Harpenden South Quick edit Valid 2013-05-30 26UGGE
26UGGF Harpenden West Quick edit Valid 2013-05-30 26UGGF
26UGGG London Colney Quick edit Valid 2013-05-30 26UGGG
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?