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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 4,541 to 4,560.First224225226227228229230231Last
Id Label Status Status Modified Notation
00QS33 Dennistoun Quick edit Valid 2013-05-30 00QS33
00QS34 Calton Quick edit Valid 2013-05-30 00QS34
00QS35 Bridgeton/Dalmarnock Quick edit Valid 2013-05-30 00QS35
00QS36 Parkhead Quick edit Valid 2013-05-30 00QS36
00QS37 Carntyne Quick edit Valid 2013-05-30 00QS37
00QS38 Robroyston Quick edit Valid 2013-05-30 00QS38
00QS39 Gartcraig Quick edit Valid 2013-05-30 00QS39
00QS40 Queenslie Quick edit Valid 2013-05-30 00QS40
00QS41 Greenfield Quick edit Valid 2013-05-30 00QS41
00QS42 Barlanark Quick edit Valid 2013-05-30 00QS42
00QS43 Shettleston Quick edit Valid 2013-05-30 00QS43
00QS44 Tollcross Park Quick edit Valid 2013-05-30 00QS44
00QS45 Braidfauld Quick edit Valid 2013-05-30 00QS45
00QS46 Mount Vernon Quick edit Valid 2013-05-30 00QS46
00QS47 Baillieston Quick edit Valid 2013-05-30 00QS47
00QS48 Garrowhill Quick edit Valid 2013-05-30 00QS48
00QS49 Garthamlock Quick edit Valid 2013-05-30 00QS49
00QS50 Easterhouse Quick edit Valid 2013-05-30 00QS50
00QS51 Drumoyne Quick edit Valid 2013-05-30 00QS51
00QS52 Govan Quick edit Valid 2013-05-30 00QS52
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?