This page contains information about each of the workshop sessions.
Day 1: Tuesday 10 December 2019
Session 1: Introduction to open
science
The Goals
of Openness
Presenter: Dr Mathew Ling
Time: 10.30 - 11.30 amCriticisms of scientific and statistical methodology have a prolonged
history, but it is an uncontroversial statement that our current “replication crisis”
or “credibility revolution” is a high-water mark in the implementation of
reforms to improve the transparency and replicability of science. But how well
are these practices aligned with the goals of openness? What should we focus on
in the pursuit of systematic practice reform? This session will discuss the
history of the Open Science movement in psychology, review the practices
emerging from this movement, and propose the benefits of cynicism to science
and scholarly revolutions.
Session 2: Statistical foundations of
reproducible science
Presenter: Dr Clair Alston-Knox
Time: 11.30 am – 12.30 pm
The
publication Why Most Published Research Findings Are False (Ioannidis JPA, 2005) resulted in an
avalanche of literature and discussion on the topic of reproducibility, and the
lack thereof, in scientific research. Generally termed “the reproducibility
crisis in science”, the majority of the blame is being laid with the misuse of
p-values. Researchers such as Fraser & Reid (2016) contend that many of the
issues are due to the mixed messages imparted to researchers during their
undergraduate training, and that this situation is resulting in seriously
misinformed scientific conclusions.
In this session attendees will re-examine commonly used techniques in statistical analysis, such as p-values, significance and power, highlighting when they are useful, what they cannot tell you, and the role sample size plays in the interpretation of basic statistical analysis. While revisiting these concepts, we will discuss the number of studies we would expect to be non-reproducible, as opposed to the potential number of reproducible outcomes that are being seen in the literature. Using case studies, attendees will discuss suggested techniques to enhance researchers understanding of their data, and how simple changes in statistical thinking can, if not completely avoid situations of non-reproducibility, at least enhance researchers understanding of their data analysis and the certainty they can place on their conclusions.
Session 3: Preregistration and
Registered Reports
Presenter: Mx Raine Vickers-Jones
Time: 1.30 - 3.00 pm
This session introduces the concept, purpose, and process of
preregistration and Registered Reports. It is aimed at people who have not
heard of preregistration, people who know what it is but not how to do it, and
people who don't see the value in it but are willing to have an open mind.
Raine will briefly cover what preregistration is, why it might be useful, and
how it can be done. Attendees will then get the opportunity to assess the
possible benefits and challenges of preregistration in various research
situations.
Session 4: Reproducible
analyses
Presenter: Ms Amanda Miotto
Time: 3.30 - 5.00 pm
This session focuses on common scenarios such as losing a key member of
your lab, misplacing a hard drive, or having your study reproduced or
challenged by an external group. These scenarios are complemented with methods
(reproducible ‘things’) that researchers can use to be prepared for these
scenarios. The workshop methods are organized into Beginner, Intermediate and
Advanced levels for users to make their research process more efficient and
effective than yesterday. Resources to continue learning post-workshop are also
provided. This workshop is
applicable to any researcher or institute.
Session 5: Open data, materials and
code
Organise, document and share research
data and codes using R
Presenters: Dr Emerson Del Ponte,
Universidade Federal De Viçosa
Associate Professor Adam Sparks and Dr Francis Gacenga, University of
Southern Queensland
Time: 9.10 – 10.30 am
This session focuses on how you can
make your research data, materials and code open and available. It will present
the concept of a research compendium as a means to ensure open data and
research and motivations for sharing materials openly.
The session will cover information about:
The main presentation will be delivered
by Associate Professor Emerson M. Del Ponte, from Universidade Federal de
Viçosa (UFV) Brazil on his experiences using research compendia and
pre-prints for making data, materials and code open and available. A panel
discussion will include Dr Francis Gacenga, Associate Professor Adam H. Sparks,
Associate Professor Emerson M. Del Ponte and Ms Belinda Weaver.
Attendees will then have the
opportunity to create a research compendium using OSF using
either their own materials, or a set of materials provided by us for this
exercise.
By the end of this session users will
have learned what tools are available to make their research data, materials
and code open and available. To aid in this, we have put together a website
with more information from the workshop with further suggested reading on the
topic of research compendia and other resources for participants to refer to.
Session 5 information website.
This website was created using: blogdown, RStudio, GitHub and Netlify and released it under a Creative Commons Attribution-NonCommercial 4.0 International License.
All of the code and materials are
available here.
Session 6: Preprints and open access
The 21st
Century academic: smart, savvy and social - and open!
Presenter: Professor Ginny Barbour and Ms Nerida Quatermass, Queensland
University of Technology
Time: 1.30 - 3.30 pm
It is not easy to be an academic researcher in the 21st century. The rapidly changing scholarly communication landscape demands an ever-expanding variety of skills, abilities and knowledge. While the past was all about publications, the present is about publishing all of your research outputs in an environment where governments and publishers demand transparency, reproducibility and open research. This session will take you through some of the tools and resources to navigate a path to publish, license and promote your work and yourself in the ever-proliferating ecosystem of online journals and websites.
Contact us: emcr@science.org.au
@Science_Academy @EMCRForum #reproduceBNE