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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 4,661 to 4,680.First230231232233234235236237Last
Id Label Status Status Modified Notation
00QT72 Grantown on Spey Quick edit Valid 2013-05-30 00QT72
00QT73 Mallaig and Small Isles Quick edit Valid 2013-05-30 00QT73
00QT74 Kilmallie and Invergarry Quick edit Valid 2013-05-30 00QT74
00QT75 Claggan and Glen Spean Quick edit Valid 2013-05-30 00QT75
00QT76 Ardnamurchan and Morvern Quick edit Valid 2013-05-30 00QT76
00QT77 Caol Quick edit Valid 2013-05-30 00QT77
00QT78 Fort William North Quick edit Valid 2013-05-30 00QT78
00QT79 Fort William South Quick edit Valid 2013-05-30 00QT79
00QT80 Glencoe Quick edit Valid 2013-05-30 00QT80
00QU01 Ward 1 Quick edit Valid 2013-05-30 00QU01
00QU02 Ward 2 Quick edit Valid 2013-05-30 00QU02
00QU03 Ward 3 Quick edit Valid 2013-05-30 00QU03
00QU04 Ward 4 Quick edit Valid 2013-05-30 00QU04
00QU05 Ward 5 Quick edit Valid 2013-05-30 00QU05
00QU06 Ward 6 Quick edit Valid 2013-05-30 00QU06
00QU07 Ward 7 Quick edit Valid 2013-05-30 00QU07
00QU08 Ward 8 Quick edit Valid 2013-05-30 00QU08
00QU09 Ward 9 Quick edit Valid 2013-05-30 00QU09
00QU10 Ward 10 Quick edit Valid 2013-05-30 00QU10
00QU11 Ward 11 Quick edit Valid 2013-05-30 00QU11
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?