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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 4,381 to 4,400.First216217218219220221222223Last
Id Label Status Status Modified Notation
00QP41 Murray Burn Quick edit Valid 2013-05-30 00QP41
00QP42 Sighthill Quick edit Valid 2013-05-30 00QP42
00QP43 Colinton Quick edit Valid 2013-05-30 00QP43
00QP44 Firrhill Quick edit Valid 2013-05-30 00QP44
00QP45 Merchiston Quick edit Valid 2013-05-30 00QP45
00QP46 North Morningside/Grange Quick edit Valid 2013-05-30 00QP46
00QP47 Marchmont Quick edit Valid 2013-05-30 00QP47
00QP48 Sciennes Quick edit Valid 2013-05-30 00QP48
00QP49 Newington Quick edit Valid 2013-05-30 00QP49
00QP50 Prestonfield Quick edit Valid 2013-05-30 00QP50
00QP51 South Morningside Quick edit Valid 2013-05-30 00QP51
00QP52 Fairmilehead Quick edit Valid 2013-05-30 00QP52
00QP53 Alnwickhill Quick edit Valid 2013-05-30 00QP53
00QP54 Kaimes Quick edit Valid 2013-05-30 00QP54
00QP55 Moredun Quick edit Valid 2013-05-30 00QP55
00QP56 Gilmerton Quick edit Valid 2013-05-30 00QP56
00QP57 Craigmillar Quick edit Valid 2013-05-30 00QP57
00QP58 Duddingston Quick edit Valid 2013-05-30 00QP58
00QQ01 Camelon Quick edit Valid 2013-05-30 00QQ01
00QQ02 Summerford Quick edit Valid 2013-05-30 00QQ02
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?