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The technological development of big data has been considered a phenomenon over the last few years. In this article, authors (Wendy Arianne Günthe, rMohammad H.Rezazade, Mehrizi Marleen Huysman, Frans Feldberg) explore the social and economic values of utilization of these data-sets within organizations --- identifying six debates around how organizations should realize the value from big data at different levels of analysis and practices to re-adjust their priorities and structure in order to benefit from big data science.

In this article, the authors discuss the important of big data decision making qualities. As organizations move to utilize the potential of big data, there is a gap in the need to discuss the factors that are influencing the quality of data sets used to make decisions based on the big data resources.

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This article explores the concept behind the newly coined term "Big Data." The author delves into emerging ethical issues that utilization of big data sets bring to a new age ----imploring readers to consider these issues closely.

Within this article, authors Kate Crawford, Kate Miltner and Mary L. Gray (International journal of communication (Online). (June 1, 2014): p1663.) explore what they deem as the "big data phenomenon". Big data sets and the art of implementing them has gained traction within the last decade from health care to advertising. Authors explore why the concept of data science is now more popular than ever and what that may mean for the future.

Objective: This paper presents the results of data gathered on copyright questions asked at an academic health sciences library. Methods: Collected data include questioner's status or discipline, the subject of the questions, the types of activities that the questioners were engaged in, the communication mode, and the length of time it took to answer the questions. Results: Overall results showed most questions were about permissions. Staff asked the most questions, followed by faculty and students. Conclusions: Copyright education is needed at universities, and further analysis of queries will determine the direction of the education.

We describe a cheating strategy enabled by the features of massive open online courses (MOOCs) and detectable by virtue of the sophisticated data systems that MOOCs provide. The strategy, Copying Answers using Multiple Existences Online (CAMEO), involves a user who gathers solutions to assessment questions using a "harvester" account and then submits correct answers using a separate "master" account. We use "clickstream" learner data to detect CAMEO use among 1.9 million course participants in 115 MOOCs from two universities. Using conservative thresholds, we estimate CAMEO prevalence at 1,237 certificates, accounting for 1.3% of the certificates in the 69 MOOCs with CAMEO users. Among earners of 20 or more certificates, 25% have used the CAMEO strategy. CAMEO users are more likely to be young, male, and international than other MOOC certificate earners. We identify preventive strategies that can decrease CAMEO rates and show evidence of their effectiveness in science courses.

Using data from a longitudinal study of LGBTQ youth and young adults, this study looks at levels of outness, victimization, and social support within Facebook. Findings included that these youth and young adults use the secutriy controls and other features of Facebook to manage their identities.