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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 10,181 to 10,200.First506507508509510511512513Last
Id Label Status Status Modified Notation
95V 10 Northland Quick edit Valid 2013-05-30 95V 10
95V 11 Clipperstown Quick edit Valid 2013-05-30 95V 11
95V 12 Killycrot Quick edit Valid 2013-05-30 95V 12
95V 13 Woodburn Quick edit Valid 2013-05-30 95V 13
95V 14 Burleigh Hill Quick edit Valid 2013-05-30 95V 14
95V 15 Greenisland Quick edit Valid 2013-05-30 95V 15
95V 16 Gortalee Quick edit Valid 2013-05-30 95V 16
95V 17 Knockagh Quick edit Valid 2013-05-30 95V 17
95W 01 Groomsport Quick edit Valid 2013-05-30 95W 01
95W 02 Churchill Quick edit Valid 2013-05-30 95W 02
95W 03 Ballyholme Quick edit Valid 2013-05-30 95W 03
95W 04 Broadway Quick edit Valid 2013-05-30 95W 04
95W 05 Ballymaconnell Quick edit Valid 2013-05-30 95W 05
95W 06 Ballymagee Quick edit Valid 2013-05-30 95W 06
95W 07 Ballycrochan Quick edit Valid 2013-05-30 95W 07
95W 08 Harbour Quick edit Valid 2013-05-30 95W 08
95W 09 Bangor Castle Quick edit Valid 2013-05-30 95W 09
95W 10 Bloomfield Quick edit Valid 2013-05-30 95W 10
95W 11 Whitehill Quick edit Valid 2013-05-30 95W 11
95W 12 Conlig Quick edit Valid 2013-05-30 95W 12
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?