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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 5,021 to 5,040.First248249250251252253254255Last
Id Label Status Status Modified Notation
00RF30 Lindsay Quick edit Valid 2013-05-30 00RF30
00RF31 Avondale North Quick edit Valid 2013-05-30 00RF31
00RF32 Avondale South Quick edit Valid 2013-05-30 00RF32
00RF33 Blantyre West Quick edit Valid 2013-05-30 00RF33
00RF34 Coatshill/Low Blantyre Quick edit Valid 2013-05-30 00RF34
00RF35 Burnbank/Blantyre Quick edit Valid 2013-05-30 00RF35
00RF36 High Blantyre Quick edit Valid 2013-05-30 00RF36
00RF37 Hamilton Centre North Quick edit Valid 2013-05-30 00RF37
00RF38 Whitehill Quick edit Valid 2013-05-30 00RF38
00RF39 Bothwell South Quick edit Valid 2013-05-30 00RF39
00RF40 Uddingston South/Bothwell Quick edit Valid 2013-05-30 00RF40
00RF41 Uddingston Quick edit Valid 2013-05-30 00RF41
00RF42 Hillhouse Quick edit Valid 2013-05-30 00RF42
00RF43 Udston Quick edit Valid 2013-05-30 00RF43
00RF44 Wellhall/Earnock Quick edit Valid 2013-05-30 00RF44
00RF45 Earnock Quick edit Valid 2013-05-30 00RF45
00RF46 Woodhead/Meikle Earnock Quick edit Valid 2013-05-30 00RF46
00RF47 Hamilton Centre/Ferniegair Quick edit Valid 2013-05-30 00RF47
00RF48 Low Waters Quick edit Valid 2013-05-30 00RF48
00RF49 Silvertonhill Quick edit Valid 2013-05-30 00RF49
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?