A practical guide to data management and sharing for biomedical laboratory researchers

Fouad, K.; Vavrek, R.; Surles-Zeigler, M.C.; Huie, J.R.; Radabaugh, H.L.; Gurkoff, G.G.; Visser, U.; Grethe, J.S.; Martone, M.E.; Ferguson, A.R.; Gensel, J.C.; Torres-Espin, A.

doi:10.1016/j.expneurol.2024.114815

Experimental Neurology

2024

DOI: 10.1016/j.expneurol.2024.114815

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A practical guide to data management and sharing for biomedical laboratory researchers

K. Fouad,

R. Vavrek,

M.C. Surles-Zeigler

et al.

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Cited by 2 publications

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Connecting the dots in neuroscience research: The future of evidence synthesis

Hair,

Arroyo-Araujo,

Vojvodic

et al. 2025

Experimental Neurology

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Connecting the dots in neuroscience research: The future of evidence synthesis

Hair,

Arroyo-Araujo,

Vojvodic

et al. 2025

Experimental Neurology

View full text Add to dashboard Cite

A how-to guide for code sharing in biology

Abdill,

Talarico,

Grieneisen

2024

PLoS Biol

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In 2024, all biology is computational biology. Computer-aided analysis continues to spread into new fields, becoming more accessible to researchers trained in the wet lab who are eager to take advantage of growing datasets, falling costs, and novel assays that present new opportunities for discovery. It is currently much easier to find guidance for implementing these techniques than for reporting their use, leaving biologists to guess which details and files are relevant. In this essay, we review existing literature on the topic, summarize common tips, and link to additional resources for training. Following this overview, we then provide a set of recommendations for sharing code, with an eye toward guiding those who are comparatively new to applying open science principles to their computational work. Taken together, we provide a guide for biologists who seek to follow code sharing best practices but are unsure where to start.

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A practical guide to data management and sharing for biomedical laboratory researchers

Cited by 2 publications

References 64 publications

Connecting the dots in neuroscience research: The future of evidence synthesis

Connecting the dots in neuroscience research: The future of evidence synthesis

A how-to guide for code sharing in biology

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