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Summary slides for “Reproducibility for Everyone” at #PlantBio18 pre- and post-workshop surveys

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  • 167 registered participants
  • 62 registered participants filled in the pre-workshop series
  • 61 signed in attendees
  • 31 signed in attendees filled in the post survey

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  • The following slides show the visual representation of all results. Question #3 and #7 and Question #7 of the pre- and post-survey are qualitative questions. The respective full answers can be found in the full spreadsheet of results.

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Graphs of pre-survey results in order: Question #1

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Graphs of pre-survey results in order: Question #2

Better and more detailed methods, description of performed analysis, and record keeping

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

More publicly available data including meta-data

increased statistical power in experiments

increased statistical power in experiments

‘increased statistical power in experiments’ is present twice as this option was slightly rephrased too late, once the survey was already being collected.

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Graphs of pre-survey results in order: Question #4

Better knowledge about appropriate tools and workflows

More time for implementing reproducible workflows

An incentive structure that rewards open and reproducible science

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Graphs of pre-survey results in order: Question #5

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.

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Graphs of pre-survey results in order: Question #6

Data management tools

Better and more detailed methods, description of performed analysis, and record keeping

Electronic notebooks

'Wet lab' protocol sharing websites, e.g. protocols.io, bioplatforms

'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

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Graphs of pre-survey results in order: Question #7

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Graphs of post-survey in order: Question #1

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Graphs of post-survey in order: Question #2

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Graphs of post-survey in order: Question #3

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Graphs of post-survey in order: Question #4

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Graphs of post-survey in order: Question #5

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Graphs of post-survey in order: Question #6