Data infrastructure for evidence-based local government policy

Blunsdon, Betsy, McNeil, Nicola, Reed, Ken and McEachern, Steven 2003, Data infrastructure for evidence-based local government policy, in Surfing the waves : management challenges, management solutions : refereed papers presented at the conference, Edith Cowan University, Joondalup, W.A., pp. 1-13.

Attached Files
Name Description MIMEType Size Downloads

Title Data infrastructure for evidence-based local government policy
Author(s) Blunsdon, Betsy
McNeil, Nicola
Reed, Ken
McEachern, Steven
Conference name ANZAM Conference (17th : 2003 : Fremantle, Western Australia)
Conference location Fremantle, Western Australia
Conference dates 2-5 December 2003
Title of proceedings Surfing the waves : management challenges, management solutions : refereed papers presented at the conference
Editor(s) Brown, Alan
Publication date 2003
Start page 1
End page 13
Publisher Edith Cowan University
Place of publication Joondalup, W.A.
Keyword(s) local government
evidence based planning
Summary This paper outlines an approach for collecting and integrating data useful for evidence based planning and decision making in the not-for-profit sector, in particular for local government policy and planning. Given the methodological advances in multi-level analysis and the nature of rigorous policy analysis, leading academics and practitioners are advocating that policy driven research to be undertaken at a number of levels of analysis. Recent years have brought an explosion of public domain data in many aspects of social, economic and cultural aspects of society (cites and examples) and with this comes the opportunity, as outlined here, to integrate relevant public domain data in order to construct community profiles for local government areas in Victoria.
ISBN 1863081089
Language eng
Field of Research 150312 Organisational Planning and Management
HERDC Research category E1 Full written paper - refereed
Persistent URL

Document type: Conference Paper
Collections: Faculty of Business and Law
Deakin Business School
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 631 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 09:46:20 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact