Useful links when developing a grant proposal

The Mark Wainwright Analytical Centre has provided Grant Applications Advice 2017 for ARC and NHMRC major rounds. Consult the GMO Successful Grants Library for ideas on structuring your proposal and for a better understanding of the level at which your proposal should be pitched.  
More links are provided below or you can request a free grant review:

               - Use this checklist to work out which parts of the guide are relevant to your application.

Other Statistics and Data Reporting Checklists for Authors
See below for some other potentially useful checklists, guides and commentaries on study design and analysis. These are primarily focussed on medical research.

Authorship guidelines when consulting with a Statistician

Authorship guidelines when consulting with a statistician 
The UNSW Research Code of Conduct section 11 describes policies on co-authorship at UNSW, section 11.2.1 is as follows: 
The minimum requirement for authorship is that an author must have had a substantial intellectual contribution to the paper, where one of the following conditions are met: 
a) conception and design; and/or 
b) analysis and interpretation of data; and/or 
c) drafting the article or revising it critically so as to contribute to the interpretation 
Researchers planning to write a paper, who have benefited from a statistical consultation, should consider whether the statistician has met one of the above requirements. Examples of ways they could meet these criteria: 
  • They made substantial contributions in the development of the design or analysis plan 
  • They recommended significant changes to a previous design or analysis plan that were followed. 
  • They provided significant material support in analysis, e.g. writing example R code, or actually undertaking parts of the analysis. 
As for any collaborator, whether or not the statistician was paid for their services should not be a consideration when assessing authorship, nor should the length of time they dedicated to the problem. The key point is whether there was a substantial intellectual contribution to design, analysis or interpretation. Providing feedback on pre-existing plans, or providing general suggestions without significant material support, would typically not warrant co-authorship, but should be acknowledged in publications (pending approval from the statistician). 
In cases where co-authorship is warranted, the consultant (and all co-authors) should be consulted in the write-up process, and should give final approval prior to submission. 
If you have any questions or feedback about this policy, feel free to discuss with your consultant or the Stats Central Director (
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