Author: Peter Haferl; Publisher: Medium; Publication Year: 2019. The following article discusses how data science is not only about analyzing data and interpreting results, but also about telling a story around these results. Oftentimes, these stories include visualizations, that more clearly present the findings of an analysis. Haferl emphasizes the detail in which ethics are considered during the data analysis process, but…
Author: N/A; Publisher: MetaRouter; Publication Year: N/A. The following article talks about instances wherein eye-catching articles featuring titles like “28 Ways Your Privacy is Invaded Every Day” or “What Your Fitness App Knows About You” might lead some people to believe that the collection and processing of personal data is downright unethical, even within legal confines. The majority is composed of…
Author: Megan Moreno; Publisher: National Library of Medicine; Publication Year: 2013. The following article describes how social media websites (SMWs) are easily-accessible and widely-used, making them appealing for researchers and data collectors. Of course, with new avenues of data collection comes new potential for abuse and misuse. In particular, International Review Boards (IRBs) face novel challenges in light of SMW-driven…
Author: Karishma Brahmbhatt; Publisher: Allen & Overy; Publication Year: 2019. The following article describes how in light of the Cambridge Analytica scandal, the Financial Services Sector is scrambling to implement data ethics into their data collection and analysis processes. Without an ethical mindset, Brahmbhatt argues that the industry not only risks losing consumer trust, but may also face punitive legal action. Thus, Brahmbhatt…
Author: Jeffrey S. Saltz, Neil Dewar; Publisher: Springer Link; Publication Year: 2019. The following article discusses how data science, and the related field of big data, is an emerging discipline involving the analysis of data to solve problems and develop insights. This rapidly growing domain promises many benefits to both consumers and businesses. However, the use of big data analytics can also introduce many ethical concerns…
Author: Jason F. Arnold, Robert M. Sade; Publisher: National Library of Medicine; Publication Year: 2017. The following case study describes the development of new technology (wearable devices in this scenario) and how the consequences of pursuing this technology fall on the people most important to the data collection process: the National Collegiate Athletics Association (NCAA) sports players themselves. There are 5 broad themes that are universal…
Author: Derick Wade; Publisher: National Library of Medicine; Publication Year: 2007. The following article discusses how ethical review committees are helpful, but the ultimate responsibility of ethical data use in healthcare falls to those organizations acquiring and examining the data. In many cases involving healthcare research, explicit consent is not required from the data subject. Because patients lose control over their data, they should be…
Author: N/A; Publisher: Cognizant; Publication Year: N/A. The following glossary entry defines and expands on the concept of data ethics. The entry defines data ethics as a branch of ethics that evaluates data practices—collecting, generating, analyzing and disseminating data, both structured and unstructured—that have the potential to adversely impact people and society. It…
Author: Christine Henry; Publisher: DataKind; Publication Year: 2018. The following article features DataKind (a data-for-good organization) outlining their data code of ethics for being a pro-bono data scientist. They emphasize that ethics is always important, but especially in data-for-good, when analysis impacts especially vulnerable populations. They compiled a living document…