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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 5,641 to 5,660.First279280281282283284285286Last
Id Label Status Status Modified Notation
17UGGR Nottingham Road Quick edit Valid 2013-05-30 17UGGR
17UGGS Ockbrook And Borrowash Quick edit Valid 2013-05-30 17UGGS
17UGGT Old Park Quick edit Valid 2013-05-30 17UGGT
17UGGU Sandiacre North Quick edit Valid 2013-05-30 17UGGU
17UGGW Sandiacre South Quick edit Valid 2013-05-30 17UGGW
17UGGX Sawley Quick edit Valid 2013-05-30 17UGGX
17UGGY Stanley Quick edit Valid 2013-05-30 17UGGY
17UGGZ West Hallam and Dale Abbey Quick edit Valid 2013-05-30 17UGGZ
17UGHA Wilsthorpe Quick edit Valid 2013-05-30 17UGHA
17UHGC Barms Quick edit Valid 2013-05-30 17UHGC
17UHGD Blackbrook Quick edit Valid 2013-05-30 17UHGD
17UHGE Burbage Quick edit Valid 2013-05-30 17UHGE
17UHGF Buxton Central Quick edit Valid 2013-05-30 17UHGF
17UHGG Chapel East Quick edit Valid 2013-05-30 17UHGG
17UHGH Chapel West Quick edit Valid 2013-05-30 17UHGH
17UHGJ Corbar Quick edit Valid 2013-05-30 17UHGJ
17UHGK Cote Heath Quick edit Valid 2013-05-30 17UHGK
17UHGL Dinting Quick edit Valid 2013-05-30 17UHGL
17UHGM Gamesley Quick edit Valid 2013-05-30 17UHGM
17UHGN Hadfield North Quick edit Valid 2013-05-30 17UHGN
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?