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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 4,341 to 4,360.First214215216217218219220221Last
Id Label Status Status Modified Notation
00QP01 Balerno Quick edit Valid 2013-05-30 00QP01
00QP02 Baberton Quick edit Valid 2013-05-30 00QP02
00QP03 Dalmeny/Kirkliston Quick edit Valid 2013-05-30 00QP03
00QP04 Queensferry Quick edit Valid 2013-05-30 00QP04
00QP05 Cramond Quick edit Valid 2013-05-30 00QP05
00QP06 Davidson's Mains Quick edit Valid 2013-05-30 00QP06
00QP07 Muirhouse/Drylaw Quick edit Valid 2013-05-30 00QP07
00QP08 Craigleith Quick edit Valid 2013-05-30 00QP08
00QP09 Pilton Quick edit Valid 2013-05-30 00QP09
00QP10 Granton Quick edit Valid 2013-05-30 00QP10
00QP11 Trinity Quick edit Valid 2013-05-30 00QP11
00QP12 Newhaven Quick edit Valid 2013-05-30 00QP12
00QP13 East Craigs Quick edit Valid 2013-05-30 00QP13
00QP14 N.E. Corstorphine Quick edit Valid 2013-05-30 00QP14
00QP15 Murrayfield Quick edit Valid 2013-05-30 00QP15
00QP16 Dean Quick edit Valid 2013-05-30 00QP16
00QP17 Stockbridge Quick edit Valid 2013-05-30 00QP17
00QP18 New Town Quick edit Valid 2013-05-30 00QP18
00QP19 Broughton Quick edit Valid 2013-05-30 00QP19
00QP20 Calton Quick edit Valid 2013-05-30 00QP20
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?