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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

3,441 concepts found, displaying 1,061 to 1,080.First5051525354555657Last
Id Label Status Status Modified Notation
14002 New Ross Urban Quick edit Valid 2013-05-30 14002
14003 Rosbercon Urban Quick edit Valid 2013-05-30 14003
14004 Wexford No. 1 Urban Quick edit Valid 2013-05-30 14004
14005 Wexford No. 2 Urban Quick edit Valid 2013-05-30 14005
14006 Wexford No. 3 Urban Quick edit Valid 2013-05-30 14006
14007 Ballindaggan Quick edit Valid 2013-05-30 14007
14008 Ballycarney Quick edit Valid 2013-05-30 14008
14009 Ballyhoge Quick edit Valid 2013-05-30 14009
14010 Ballyhuskard Quick edit Valid 2013-05-30 14010
14011 Ballymore Quick edit Valid 2013-05-30 14011
14012 Ballyvaldon Quick edit Valid 2013-05-30 14012
14013 Bolaboy Quick edit Valid 2013-05-30 14013
14014 Bree Quick edit Valid 2013-05-30 14014
14015 Castleboro Quick edit Valid 2013-05-30 14015
14016 Castledockrell Quick edit Valid 2013-05-30 14016
14017 Castle Ellis Quick edit Valid 2013-05-30 14017
14018 Castle Talbot Quick edit Valid 2013-05-30 14018
14019 Clonroche Quick edit Valid 2013-05-30 14019
14020 Edermine Quick edit Valid 2013-05-30 14020
14021 Enniscorthy Rural Quick edit Valid 2013-05-30 14021
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?