You are here:
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 4,901 to 4,920.First242243244245246247248249Last
Id Label Status Status Modified Notation
00RC02 St James Quick edit Valid 2013-05-30 00RC02
00RC03 Ferguslie Quick edit Valid 2013-05-30 00RC03
00RC04 Linwood East Quick edit Valid 2013-05-30 00RC04
00RC05 Linwood West Quick edit Valid 2013-05-30 00RC05
00RC06 Brediland Quick edit Valid 2013-05-30 00RC06
00RC07 Foxbar Quick edit Valid 2013-05-30 00RC07
00RC08 Stanely Quick edit Valid 2013-05-30 00RC08
00RC09 Glenburn South Quick edit Valid 2013-05-30 00RC09
00RC10 Glenburn North Quick edit Valid 2013-05-30 00RC10
00RC11 Paisley Central Quick edit Valid 2013-05-30 00RC11
00RC12 Lounsdale and Millarston Quick edit Valid 2013-05-30 00RC12
00RC13 Castlehead Quick edit Valid 2013-05-30 00RC13
00RC14 Saucel and Hunterhill Quick edit Valid 2013-05-30 00RC14
00RC15 Lochfield Quick edit Valid 2013-05-30 00RC15
00RC16 Seedhill Quick edit Valid 2013-05-30 00RC16
00RC17 Blackhall and Hawkhead Quick edit Valid 2013-05-30 00RC17
00RC18 Gallowhill and Whitehaugh Quick edit Valid 2013-05-30 00RC18
00RC19 Sandyford Quick edit Valid 2013-05-30 00RC19
00RC20 Ralston Quick edit Valid 2013-05-30 00RC20
00RC21 Johnstone Central Quick edit Valid 2013-05-30 00RC21
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?