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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 4,581 to 4,600.First226227228229230231232233Last
Id Label Status Status Modified Notation
00QS73 Cathcart Quick edit Valid 2013-05-30 00QS73
00QS74 Mount Florida Quick edit Valid 2013-05-30 00QS74
00QS75 Toryglen Quick edit Valid 2013-05-30 00QS75
00QS76 King's Park Quick edit Valid 2013-05-30 00QS76
00QS77 Castlemilk Quick edit Valid 2013-05-30 00QS77
00QS78 Carmunnock Quick edit Valid 2013-05-30 00QS78
00QS79 Glenwood Quick edit Valid 2013-05-30 00QS79
00QT01 Caithness North West Quick edit Valid 2013-05-30 00QT01
00QT02 Thurso West Quick edit Valid 2013-05-30 00QT02
00QT03 Thurso Central Quick edit Valid 2013-05-30 00QT03
00QT04 Thurso East Quick edit Valid 2013-05-30 00QT04
00QT05 Caithness Central Quick edit Valid 2013-05-30 00QT05
00QT06 Caithness North East Quick edit Valid 2013-05-30 00QT06
00QT07 Wick Quick edit Valid 2013-05-30 00QT07
00QT08 Wick West Quick edit Valid 2013-05-30 00QT08
00QT09 Pulteneytown Quick edit Valid 2013-05-30 00QT09
00QT10 Caithness South East Quick edit Valid 2013-05-30 00QT10
00QT11 Sutherland North West Quick edit Valid 2013-05-30 00QT11
00QT12 Tongue and Farr Quick edit Valid 2013-05-30 00QT12
00QT13 Sutherland Central Quick edit Valid 2013-05-30 00QT13
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?