1. Social Responsibility in
Research
Philip E. Bourne
Founding Dean School of Data Science
University of Virginia
https://www.slideshare.net/pebourne
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2. A Quick Story
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• Nelson White House Memo – Ensuring Free and
Equitible Access to federally Funded Research
3. What are some of the ways you can
undertake socially responsible research?
1. Open research
2. Providing protocols = reproducibility
3. Transparency with where funding comes from
4. Detailed notes – easily findable
5. Larger community considerations
6. Benefit study population
7. Making data available
8. Sharing resources eg mouse models
9. Sharing code
10. Participant informed consent
11. Upfront about the research question
12. Not over-inflating the results of research
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4. Social Responsibility in Research
According to ChatGPT
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Social responsibility in research refers to the ethical obligation of researchers to
conduct studies that have a positive impact on society and the environment.
This includes considering the potential risks and benefits of the research,
minimizing harm to human and animal subjects, and ensuring that the research is
conducted with integrity and transparency.
Socially responsible research also involves addressing issues of equity,
diversity, and inclusion in the research process. This includes ensuring that
research participants are representative of diverse populations, and that the
research is conducted in a culturally sensitive and respectful manner.
In addition to these ethical considerations, socially responsible research also
involves engaging with stakeholders such as community members, policy
makers, and industry partners to ensure that the research is relevant and
beneficial to society.
Overall, social responsibility in research involves a commitment to conducting
research that promotes the well-being of individuals and communities, while
minimizing harm and ensuring ethical and transparent practices.
5. Lets consider one social responsibility in more
detail….
Data sharing
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6. Data are the lifeblood of research
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https://www.youtube.com/watch?v=N2zK3sAtr-4
7. Lets spend 10 minutes in breakout rooms
discussing the take aways from this video – make 2
columns for the pros and cons of data sharing
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8. Data Sharing
• Pros
• Multiple methods of analysis –
remove analytical bias
• Save time and money
• Reproducibility
• Prevent loss of data
• Feeling good – social benefit
• Rare diseases – collaborative
• Greater collaboration across
disciplines
• Testing new hypotheses
• More ethical research – stats.
• Cons
• Privacy – expose personal info
• Unauthorized access in the cloud
• Loss of confidentiality in mar. pop.
• Safe storage for the long term
• Lack of a data dictionary
• Lose context of info –
acknowledge
• Time and money to share
• Scooping - publishing from that
• Magnification of false data
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9. Data Sharing Alone is Not Enough it must be
FAIR
•Findable
•Accessible
•Interoperable
•Reusable
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https://www.nature.com/articles/sdata201618
10. Probability of
finding the data
associated with a
paper declined by
17% every year
Vines, Timothy et al. “The
Availability of Research Data
Declines Rapidly with Article Age.”
Current Biology (June 1, 2014)
Image: Nature doi:10.1038/nature.2013.14416
Even When Data Are Available and FAIR
Data Availability Declines Over Time
ALMOST ALL DATA LOST 10-15 YRS AFTER PUBLICATION
From Emma Ganley @ PLOS
11. Lets spend 10 minutes discussing
1. Does it matter?
2. If yes, what should be done
that mitigates this loss?
• Hint – think of it in terms of
those who:
• Fund the research e.g. NIH
• Support the research e.g. UVA
• Publish the research e.g. journals
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12. Data sharing is just one aspect of social
responsible research as we determined at the
start of this lecture
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13. Researchers Need to Consider All Aspects of
the Research Lifecycle
Publishershttps://www.vertigoventures.com/lesson/embedding-impact/impact-research-life-cycle/
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11
1.
2.
3.
4.
5.
6.
14. Can we refine our list based on this broader
picture?
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15. References
• School of Data Science Promotion and
Tenure Guidelines
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BIMS7100
• Nelson White House Memo – Ensuring Free and Equitible
Access to federally Funded Research
• Zivony A, Kardosh R, Timmins L, Reggev N (2023) Ten simple
rules for socially responsible science. PLoS Comput Biol 19(3):
e1010954. https://doi.org/10.1371/journal.pcbi.1010954
• On Being a Scientist: A Guide to Responsible Conduct in
Research
• Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR
Guiding Principles for scientific data management and
stewardship. Sci Data 3, 160018 (2016).
https://doi.org/10.1038/sdata.2016.18
Editor's Notes
Study by Tim Vines
Probability of finding the data declined by 17% every year
End result – almost all data lost 10-15 yrs after publication