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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 4,641 to 4,660.First229230231232233234235236Last
Id Label Status Status Modified Notation
00QT52 Ballifeary Quick edit Valid 2013-05-30 00QT52
00QT53 Lochardil Quick edit Valid 2013-05-30 00QT53
00QT54 Hilton Quick edit Valid 2013-05-30 00QT54
00QT55 Milton Quick edit Valid 2013-05-30 00QT55
00QT56 Crown Quick edit Valid 2013-05-30 00QT56
00QT57 Raigmore Quick edit Valid 2013-05-30 00QT57
00QT58 Loch Ness East Quick edit Valid 2013-05-30 00QT58
00QT59 Culduthel Quick edit Valid 2013-05-30 00QT59
00QT60 Inshes Quick edit Valid 2013-05-30 00QT60
00QT61 Drumossie Quick edit Valid 2013-05-30 00QT61
00QT62 Westhill and Smithton Quick edit Valid 2013-05-30 00QT62
00QT63 Balloch Quick edit Valid 2013-05-30 00QT63
00QT64 Nairn Alltan Quick edit Valid 2013-05-30 00QT64
00QT65 Nairn Ninian Quick edit Valid 2013-05-30 00QT65
00QT66 Nairn Cawdor Quick edit Valid 2013-05-30 00QT66
00QT67 Nairn Auldearn Quick edit Valid 2013-05-30 00QT67
00QT68 Badenoch West Quick edit Valid 2013-05-30 00QT68
00QT69 Badenoch East Quick edit Valid 2013-05-30 00QT69
00QT70 Strathspey South Quick edit Valid 2013-05-30 00QT70
00QT71 Strathspey North East Quick edit Valid 2013-05-30 00QT71
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?