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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 5,041 to 5,060.First249250251252253254255256Last
Id Label Status Status Modified Notation
00RF50 Cadzow Quick edit Valid 2013-05-30 00RF50
00RF51 Dalserf Quick edit Valid 2013-05-30 00RF51
00RF52 Larkhall East Quick edit Valid 2013-05-30 00RF52
00RF53 Larkhall West Quick edit Valid 2013-05-30 00RF53
00RF54 Larkhall South Quick edit Valid 2013-05-30 00RF54
00RF55 Stonehouse Quick edit Valid 2013-05-30 00RF55
00RF56 Rutherglen West Quick edit Valid 2013-05-30 00RF56
00RF57 Stonelaw Quick edit Valid 2013-05-30 00RF57
00RF58 Bankhead Quick edit Valid 2013-05-30 00RF58
00RF59 Spittal/Blairbeth Quick edit Valid 2013-05-30 00RF59
00RF60 Burgh Quick edit Valid 2013-05-30 00RF60
00RF61 Cairns Quick edit Valid 2013-05-30 00RF61
00RF62 Hallside Quick edit Valid 2013-05-30 00RF62
00RF63 Cambuslang Central Quick edit Valid 2013-05-30 00RF63
00RF64 Cathkin/Springhall Quick edit Valid 2013-05-30 00RF64
00RF65 Fernhill Quick edit Valid 2013-05-30 00RF65
00RF66 Kirkhill/Whitlawburn Quick edit Valid 2013-05-30 00RF66
00RF67 Eastfield Quick edit Valid 2013-05-30 00RF67
00RG01 Bridge of Allan Quick edit Valid 2013-05-30 00RG01
00RG02 Logie Quick edit Valid 2013-05-30 00RG02
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?