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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 4,861 to 4,880.First240241242243244245246247Last
Id Label Status Status Modified Notation
00RB03 Rattray and Glenshee Quick edit Valid 2013-05-30 00RB03
00RB04 Alyth and Old Rattray Quick edit Valid 2013-05-30 00RB04
00RB05 Coupar Angus and Meigle Quick edit Valid 2013-05-30 00RB05
00RB06 Rosemount Quick edit Valid 2013-05-30 00RB06
00RB07 Blairgowrie Quick edit Valid 2013-05-30 00RB07
00RB08 Kinclaven and Clunie Quick edit Valid 2013-05-30 00RB08
00RB09 Strathtay and Dunkeld Quick edit Valid 2013-05-30 00RB09
00RB10 Breadalbane Quick edit Valid 2013-05-30 00RB10
00RB11 Comrie Quick edit Valid 2013-05-30 00RB11
00RB12 Crieff North Quick edit Valid 2013-05-30 00RB12
00RB13 Crieff South Quick edit Valid 2013-05-30 00RB13
00RB14 Strathord and Logiealmond Quick edit Valid 2013-05-30 00RB14
00RB15 Strathalmond Quick edit Valid 2013-05-30 00RB15
00RB16 Scone Quick edit Valid 2013-05-30 00RB16
00RB17 Dunsinnan Quick edit Valid 2013-05-30 00RB17
00RB18 East Carse Quick edit Valid 2013-05-30 00RB18
00RB19 Central Carse Quick edit Valid 2013-05-30 00RB19
00RB20 Barnhill and West Carse Quick edit Valid 2013-05-30 00RB20
00RB21 Pictstonhill Quick edit Valid 2013-05-30 00RB21
00RB22 North Inch Quick edit Valid 2013-05-30 00RB22
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?