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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.
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 ...
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.
Through this time I have noticed an opportunity for research to take a more community-centric approach. Data has been collected on marginalized communities with little regard for their well-being
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.
Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of, or as actually being a "Data collection system" is very important. This categorization allows encyclopedic knowledge to be gathered and applied in the design and implementation of future systems.
Censorship is an issue commonly involved in the discussion of information ethics because it describes the inability to access or express opinions or information based on the belief it is bad for others to view this opinion or information. [12] Sources that are commonly censored include books, articles, speeches, art work, data, music and photos ...
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.