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Five tips for Painless Data Sharing.
Iain Styles School of Computer Science
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Outline Data sharing is technically easy
But practically difficult if you are not prepared What can you do to make it easy?
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Your data is your research
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Plan to share data Build data sharing into project plans
Discuss at the start with collaborators Know your funder requirements
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Use the Facilities The RDS is where your data goes “No USB” rule
Why make more work and risk for yourself?
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Curate your data Plan to organise data Review data regularly
Keep raw data raw
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Analyse with Workflows
Can you reproduce the sequence of buttons you clicked? Write scripts/macros where possible Share the workflow with the data
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Version control Use tools to control and document versions
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Summary Data sharing is crucial to good research
We have great tools – use them Make data sharing an integral part of your processes
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