Pre-survey for the "Reproducibility for Everyone" Professional Development Workshop at #SfN19 [Sat | Oct 19 | 9 - 11AM]
Science depends on reproducibility to build trust within and beyond the research community.
To maximize the efficiency and output of this workshop we've prepared a short survey for all participants. The goals of the survey are the following:
* Assess your prior knowledge about reproducible research and workflows
* Assess your most desirable outcomes from this workshop
* Assess how we can help you increase reproducibility of your daily research
* Get you engaged and excited about this workshop
The goal for the workshop is to provide you with a starting point to make your work more reproducible. The workshop will help you develop best practices that will accelerate your research and make it easier for you, your collaborators, and the broader scientific community to use the results of your work in future work.
Don't worry, this survey will take 5 minutes or less. All questions can have multiple answers.
Have you ever had problems reproducing your own or someone else's research?
My own research
I have never had problems reproducing research
What major improvements could lead to more reproducibility?
Better and more detailed methods, description of performed analysis, and record keeping
More publicly available data including meta-data
increased statistical power in experiments
less pressure to publish (reach p < 0.05)
Fewer incentives to be first rather than right
Better 'wet lab' reagent sharing e.g. plasmids, antibodies, etc.
Better code sharing
What tools do you currently use to improve reproducibility in your own research? Please enumerate your tools in a comma separated list. E.g. github, electronic notebooks,
Which of the following will enable you to make your work more reproducible?
Better knowledge about appropriate tools and workflows
More time for implementing reproducible workflows
An incentive structure that rewards open and reproducible science
What would you like to get out of this workshop?
A practical and conceptual framework that will help me design my experiments will reproducibility in mind
An introduction to tools that will make my research more reproducible and rigorous.
What kind of reproducible research tools would you like to know more about?
Data management tools
'Wet lab' protocol sharing websites, e.g.
'Wet lab' reagent sharing platforms, e.g. Addgene
Code sharing and bioinformatic workflows, e.g. Codeocean, github, binders, dockers, snakemake, jupyter notebooks
Data sharing, e.g. datadryad, sequencing archives
Image handling and analysis
Statistical analysis and plotting
If you’d like to, please share any anecdotes about how reproducibility issues have affected your work or that of someone else.
I am a(n)
Professional research staff
Thank you very much and see you on Saturday (October 19th)!
Reproducibility for Everyone, #SfN19 | Saturday, October 19, 2019 9:00 AM - 11:00 AM | Room N228
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