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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.
Sources that are commonly censored include books, articles, speeches, art work, data, music and photos. [12] Censorship can be perceived both as ethical and non-ethical in the field of information ethics. Those who believe censorship is ethical say the practice prevents readers from being exposed to offensive and objectionable material. [12]
There are important ethical considerations for the collection and secondary use of health data. While discussions on the ethical collection and use of health data typically focus on research, it is important not to overlook potential data misuse by non-research organizations. [ 26 ]
Critical data studies is the exploration of and engagement with social, cultural, and ethical challenges that arise when working with big data. It is through various unique perspectives and taking a critical approach that this form of study can be practiced. [1]
In social science research, issues of research ethics, informed consent, and research protocols often arise, and research of Wikipedia is no exception. Rules and laws established after controversial studies like the Milgram experiment and Stanford prison experiment require researchers to design their studies such that they do no harm to participants.
The ethical considerations behind Internet activities such a peer-to-peer file sharing involve every layer of the discussion – the consumer, artist, producer, music/movie/software industry, national government, and international relations. Overall, technoethics forces the "big picture" approach to all discussions on technology in society.
From January 2008 to December 2012, if you bought shares in companies when Jeffrey A. Honickman joined the board, and sold them when he left, you would have a 104.1 percent return on your investment, compared to a -2.8 percent return from the S&P 500.
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 ...