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Still, writes Saini, for all the data that Criado Perez presents, "What should worry us more than the data gap, then, is that huge and seemingly intractable don't-give-a-damn gap." [ 5 ] In an article for Literary Review magazine titled 'Female Unfriendly', feminist author Joan Smith , lauds the book as essential reading, at least for those to ...
Big data ethics, also known simply as data ethics, refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to data, in particular personal data. [1] Since the dawn of the Internet the sheer quantity and quality of data has dramatically increased and is continuing to do so exponentially.
Data Feminism is a book written by Catherine D’Ignazio and Lauren F. Klein as part literature review, part call to action, Data Feminism provides a framework for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science.
This is where I think there is a poignant opportunity for those collecting data to more ethically partner with communities, activists, and organizers to create equitable and impactful programming ...
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
Statistical bias exists in numerous stages of the data collection and analysis process, including: the source of the data, the methods used to collect the data, the estimator chosen, and the methods used to analyze the data. Data analysts can take various measures at each stage of the process to reduce the impact of statistical bias in their ...
Unobtrusive research (or unobtrusive measures) is a method of data collection used primarily in the social sciences.The term unobtrusive measures was first coined by Webb, Campbell, Schwartz, & Sechrest in a 1966 book titled Unobtrusive Measures: Nonreactive Research in the Social Sciences. [1]
Observational research is a method of data collection that has become associated with qualitative research. [1] Compared with quantitative research and experimental research, observational research tends to be less reliable but often more valid [citation needed]. The main advantage of observational research is flexibility.