A big part of data literacy is being ethical--and being aware of potential ethical pitfalls--around data collection, data analysis, and data dissemination.
View this video for an overview (sign in with your Haverford credentials):
Data Ethics (8-min)
(From LinkedIn Learning. Data Literacy: Exploring and Describing Data. Accessed Jan 29, 2025.)
A variety of potential concerns are also outlined below.
Harm to Subjects
__________
Harm to Data Workers
__________
Bias
__________
Data Fabrication & Falsification
While instances of data fabrication (inventing data) and data falsification (manipulating data) are not rampant in the scientific community, occurrences are serious breaches of appropriate research conduct.
Find more detailed information in these resources.
The Big Data Agenda by 
Science Fictions by
An insider's view of science reveals why many scientific results cannot be relied upon - and how the system can be reformed. Science is how we understand the world. Yet failures in peer review and mistakes in statistics have rendered a shocking number of scientific studies useless - or, worse, badly misleading. Such errors have distorted our knowledge in fields as wide-ranging as medicine, physics, nutrition, education, genetics, economics, and the search for extraterrestrial life. As Science Fictions makes clear, the current system of research funding and publication not only fails to safeguard us from blunders but actively encourages bad science - with sometimes deadly consequences. Stuart Ritchie's own work challenging an infamous psychology experiment helped spark what is now widely known as the "replication crisis," the realization that supposed scientific truths are often just plain wrong. Now, he reveals the very human biases, misunderstandings, and deceptions that undermine the scientific endeavor: from contamination in science labs to the secret vaults of failed studies that nobody gets to see; from outright cheating with fake data to the more common, but still ruinous, temptation to exaggerate mediocre results for a shot at scientific fame. Yet Science Fictions is far from a counsel of despair. Rather, it's a defense of the scientific method against the pressures and perverse incentives that lead scientists to bend the rules. By illustrating the many ways that scientists go wrong, Ritchie gives us the knowledge we need to spot dubious research and points the way to reforms that could make science trustworthy once again.
Perspectives on Digital Humanism by
This open access book aims to set an agenda for research and action in the field of Digital Humanism through short essays written by selected thinkers from a variety of disciplines, including computer science, philosophy, education, law, economics, history, anthropology, political science, and sociology. This initiative emerged from the Vienna Manifesto on Digital Humanism and the associated lecture series. Digital Humanism deals with the complex relationships between people and machines in digital times. It acknowledges the potential of information technology. At the same time, it points to societal threats such as privacy violations and ethical concerns around artificial intelligence, automation and loss of jobs, ongoing monopolization on the Web, and sovereignty. Digital Humanism aims to address these topics with a sense of urgency but with a constructive mindset. The book argues for a Digital Humanism that analyses and, most importantly, influences thecomplex interplay of technology and humankind toward a better society and life while fully respecting universal human rights. It is a call to shaping technologies in accordance with human values and needs.
Never Waste a Good Crisis by
This book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and that questionable research practices are often caused by researchers' inadequate mastery of the statistical methods and procedures they use for their data analysis. The author's solution to prevent problems concerning the trustworthiness of research results, no matter how they originated, is to publish data in publicly available repositories and encourage researchers not trained as statisticians not to overestimate their statistical skills and resort to professional support from statisticians or methodologists. The author discusses some of his experiences concerning mutual trust, fear of repercussions, and the bystander effect as conditions limiting revelation of colleagues' possible integrity breaches. He explains why people are unable to mimic real data and why data fabrication using statistical models stills falls short of credibility. Confirmatory and exploratory research and the usefulness of preregistration, and the counter-intuitivenature of statistics, are discussed. The author questions the usefulness of statistical advice concerning frequentist hypothesis testing, Bayes-factor use, alternative statistics education, and reduction of situational disturbances like performance pressure, as stand-alone means to reduce questionable research practices when researchers lack experience with statistics.
Industry Unbound by
In Industry Unbound, Ari Ezra Waldman exposes precisely how the tech industry conducts its ongoing crusade to undermine our privacy. With research based on interviews with scores of tech employees and internal documents outlining corporate strategies, Waldman reveals that companies don't just lobby against privacy law; they also manipulate how we think about privacy, how their employees approach their work, and how they weaken the law to make data-extractive products the norm. In contrast to those who claim that privacy law is getting stronger, Waldman shows why recent shifts in privacy law are precisely the kinds of changes that corporations want and how even those who think of themselves as privacy advocates often unwittingly facilitate corporate malfeasance. This powerful account should be read by anyone who wants to understand why privacy laws are not working and how corporations trap us into giving up our personal information.
