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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 4,881 to 4,900.First241242243244245246247248Last
Id Label Status Status Modified Notation
00RB23 Muirton Quick edit Valid 2013-05-30 00RB23
00RB24 North Muirton Quick edit Valid 2013-05-30 00RB24
00RB25 Hillyland Quick edit Valid 2013-05-30 00RB25
00RB26 Ruthven Park Quick edit Valid 2013-05-30 00RB26
00RB27 North Letham Quick edit Valid 2013-05-30 00RB27
00RB28 South Letham Quick edit Valid 2013-05-30 00RB28
00RB29 Wellshill Quick edit Valid 2013-05-30 00RB29
00RB30 Oakbank Quick edit Valid 2013-05-30 00RB30
00RB31 Craigie Quick edit Valid 2013-05-30 00RB31
00RB32 South Inch Quick edit Valid 2013-05-30 00RB32
00RB33 Moncreiffe and Friarton Quick edit Valid 2013-05-30 00RB33
00RB34 Earn Quick edit Valid 2013-05-30 00RB34
00RB35 Auchterarder Mid Earn Quick edit Valid 2013-05-30 00RB35
00RB36 Strathallan and Glendevon Quick edit Valid 2013-05-30 00RB36
00RB37 Auchterarder Craig Rossie Quick edit Valid 2013-05-30 00RB37
00RB38 Abernethy and Glenfarg Quick edit Valid 2013-05-30 00RB38
00RB39 Milnathort and North Kinross Quick edit Valid 2013-05-30 00RB39
00RB40 Kinross Town Quick edit Valid 2013-05-30 00RB40
00RB41 Kinross-shire Quick edit Valid 2013-05-30 00RB41
00RC01 Shortroods Quick edit Valid 2013-05-30 00RC01
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?