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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 8,281 to 8,300.First411412413414415416417418Last
Id Label Status Status Modified Notation
36UEGE Barton Quick edit Valid 2013-05-30 36UEGE
36UEGF Bolton Castle Quick edit Valid 2013-05-30 36UEGF
36UEGG Brompton-on-Swale and Scorton Quick edit Valid 2013-05-30 36UEGG
36UEGH Catterick Quick edit Valid 2013-05-30 36UEGH
36UEGJ Colburn Quick edit Valid 2013-05-30 36UEGJ
36UEGK Croft Quick edit Valid 2013-05-30 36UEGK
36UEGL Gilling West Quick edit Valid 2013-05-30 36UEGL
36UEGM Hawes and High Abbotside Quick edit Valid 2013-05-30 36UEGM
36UEGN Hipswell Quick edit Valid 2013-05-30 36UEGN
36UEGP Hornby Castle Quick edit Valid 2013-05-30 36UEGP
36UEGQ Leyburn Quick edit Valid 2013-05-30 36UEGQ
36UEGR Lower Wensleydale Quick edit Valid 2013-05-30 36UEGR
36UEGS Melsonby Quick edit Valid 2013-05-30 36UEGS
36UEGT Middleham Quick edit Valid 2013-05-30 36UEGT
36UEGU Middleton Tyas Quick edit Valid 2013-05-30 36UEGU
36UEGW Newsham with Eppleby Quick edit Valid 2013-05-30 36UEGW
36UEGX Penhill Quick edit Valid 2013-05-30 36UEGX
36UEGY Reeth and Arkengarthdale Quick edit Valid 2013-05-30 36UEGY
36UEGZ Richmond Central Quick edit Valid 2013-05-30 36UEGZ
36UEHA Richmond East Quick edit Valid 2013-05-30 36UEHA
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?