You are here:
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 10,141 to 10,160.First504505506507508509510511Last
Id Label Status Status Modified Notation
95T 14 Greystone Quick edit Valid 2013-05-30 95T 14
95T 15 Parkgate Quick edit Valid 2013-05-30 95T 15
95T 16 Ballycraigy Quick edit Valid 2013-05-30 95T 16
95T 17 Clady Quick edit Valid 2013-05-30 95T 17
95T 18 Aldergrove Quick edit Valid 2013-05-30 95T 18
95T 19 Crumlin Quick edit Valid 2013-05-30 95T 19
95U 01 Mallusk Quick edit Valid 2013-05-30 95U 01
95U 02 Doagh Quick edit Valid 2013-05-30 95U 02
95U 03 Ballyclare North Quick edit Valid 2013-05-30 95U 03
95U 04 Ballyclare South Quick edit Valid 2013-05-30 95U 04
95U 05 Ballynure Quick edit Valid 2013-05-30 95U 05
95U 06 Ballyrobert Quick edit Valid 2013-05-30 95U 06
95U 07 Hawthorne Quick edit Valid 2013-05-30 95U 07
95U 08 Jordanstown Quick edit Valid 2013-05-30 95U 08
95U 09 Rostulla Quick edit Valid 2013-05-30 95U 09
95U 10 Monkstown Quick edit Valid 2013-05-30 95U 10
95U 11 Ballyduff Quick edit Valid 2013-05-30 95U 11
95U 12 Carnmoney Quick edit Valid 2013-05-30 95U 12
95U 13 Mossley Quick edit Valid 2013-05-30 95U 13
95U 14 Burnthill Quick edit Valid 2013-05-30 95U 14
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?