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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 8,261 to 8,280.First410411412413414415416417Last
Id Label Status Status Modified Notation
36UDHD Mashamshire Quick edit Valid 2013-05-30 36UDHD
36UDHE Newby Quick edit Valid 2013-05-30 36UDHE
36UDHF New Park Quick edit Valid 2013-05-30 36UDHF
36UDHG Nidd Valley Quick edit Valid 2013-05-30 36UDHG
36UDHH Ouseburn Quick edit Valid 2013-05-30 36UDHH
36UDHJ Pannal Quick edit Valid 2013-05-30 36UDHJ
36UDHK Pateley Bridge Quick edit Valid 2013-05-30 36UDHK
36UDHL Ribston Quick edit Valid 2013-05-30 36UDHL
36UDHM Ripon Minster Quick edit Valid 2013-05-30 36UDHM
36UDHN Ripon Moorside Quick edit Valid 2013-05-30 36UDHN
36UDHP Ripon Spa Quick edit Valid 2013-05-30 36UDHP
36UDHQ Rossett Quick edit Valid 2013-05-30 36UDHQ
36UDHR Saltergate Quick edit Valid 2013-05-30 36UDHR
36UDHS Spofforth with Lower Wharfedale Quick edit Valid 2013-05-30 36UDHS
36UDHT Starbeck Quick edit Valid 2013-05-30 36UDHT
36UDHU Stray Quick edit Valid 2013-05-30 36UDHU
36UDHW Washburn Quick edit Valid 2013-05-30 36UDHW
36UDHX Wathvale Quick edit Valid 2013-05-30 36UDHX
36UDHY Woodfield Quick edit Valid 2013-05-30 36UDHY
36UEGD Addlebrough Quick edit Valid 2013-05-30 36UEGD
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?