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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 4,681 to 4,700.First231232233234235236237238Last
Id Label Status Status Modified Notation
00QU12 Ward 12 Quick edit Valid 2013-05-30 00QU12
00QU13 Ward 13 Quick edit Valid 2013-05-30 00QU13
00QU14 Ward 14 Quick edit Valid 2013-05-30 00QU14
00QU15 Ward 15 Quick edit Valid 2013-05-30 00QU15
00QU16 Ward 16 Quick edit Valid 2013-05-30 00QU16
00QU17 Ward 17 Quick edit Valid 2013-05-30 00QU17
00QU18 Ward 18 Quick edit Valid 2013-05-30 00QU18
00QU19 Ward 19 Quick edit Valid 2013-05-30 00QU19
00QU20 Ward 20 Quick edit Valid 2013-05-30 00QU20
00QW01 Penicuik South West Quick edit Valid 2013-05-30 00QW01
00QW02 Penicuik North Quick edit Valid 2013-05-30 00QW02
00QW03 Penicuik/Roslin Quick edit Valid 2013-05-30 00QW03
00QW04 Penicuik South East Quick edit Valid 2013-05-30 00QW04
00QW05 Bilston/Roslin Quick edit Valid 2013-05-30 00QW05
00QW06 Loanhead Quick edit Valid 2013-05-30 00QW06
00QW07 Poltonhall/Rosewell Quick edit Valid 2013-05-30 00QW07
00QW08 Bonnyrigg North Quick edit Valid 2013-05-30 00QW08
00QW09 Bonnyrigg South Quick edit Valid 2013-05-30 00QW09
00QW10 Newtongrange Quick edit Valid 2013-05-30 00QW10
00QW11 Arniston/Cockpen Quick edit Valid 2013-05-30 00QW11
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?