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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.
The survey, form, app or collection tool is on a mobile device such as a smart phone or a tablet. These devices offer innovative ways to gather data, and eliminate the laborious "data entry" (of paper form data into a computer), which delays data analysis and understanding.
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 ...
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 ...
Use of focus groups to study workplace bullying, therefore, serves as both an efficacious and ethical venue for collecting such data (see, e.g., Tracy, Lutgen-Sandvik, & Alberts, 2006) [29] Of course, collecting data on workplace bullying requires the research team to protect the members of the group and put an end to the bullying.
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.
Purpose Specification - The data subjects must be clearly communicated to at or before any data collection, retention, or usage occurs, and the purpose(s) must be limited and relevant to the stated needs. [18] Collection Limitation - Collection of data must be fair, lawful, and limited to the stated purpose. [18]
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]