Ethics in data collection
Steps to big data transformation in the rating speed to market through data governance programs: why the urgency? Outlets have published several stories of late that point to both the innovative aspects of harnessing "big data" and the risks to personal privacy associated with ate e-mail address:You forgot to provide an email email address doesn’t appear to be email address is already registered. Then, there was the article about online travel agency orbitz, which began up-charging apple users after data-crunching revealed that they are generally willing to pay more for s agree that companies like target and orbitz are being innovative and setting viable business goals as they collect large amounts of data in an effort to market to customers more effectively. But doing so also brings up questions of privacy, data ownership and information rd, conn. Defines "big data" as "high-volume, velocity and/or variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making and process automation. Other experts point out that big data might include unstructured textual information from social media sites, machine-generated log data and a host of other information collected by cloud applications, on-premises applications and websites. The opportunities that big data offer to impact social, cultural, political change in our lives are promising. There a lots of people who are very excited about that," said kord davis, a former analyst with paris-based consultancy cap gemini and author of ethics of big data. Mainstream stories about big data have triggered more than a few passionate reactions, according to davis. But regardless of which side of the debate one lands on, davis said, it will be difficult to formulate a standard set of ethics around big data if individual moral standards are used as a guide. What one person finds invasive might seem fair to another, but that type of argument is what davis is looking to ments investigate privacy y issues related to big data analytics and the collection of consumer information have been hot topics in political circles of late. And joe barton (r-texas) are investigating what they call "data brokers" -- companies that collect consumer information and then sell it to other companies. The european union has called on google to be more transparent about how it collects data with the threat of antitrust legislation looming. There will certainly be more pressure to establish greater regulations around this consumer data, and that can be defined as a true consumer or as businesses consuming that data," said jeff kaplan, managing director of wellesley, mass. Kaplan explained that there are a number of companies that offer discounted or free services because they want to have an ancillary business in selling data collected from the use of those services. Businesses that collect data also use powerful analytics tools to gain insight into customers, increasing sales.
Ethical considerations in data collection
If their ability to do that is in any way compromised, they probably will have to rethink their business models," kaplan ping big data standards no easy is advocating for more discussion on what the rules should be regarding big data -- and he also wants that discussion to grow beyond the realm of privacy. Being able to come up with a broad-based, global set of guidelines for big data-handling in an ethical fashion is going to be difficult. Also doesn't see a need for the conversation to be focused exclusively on big data. In his opinion, what's considered big data today will probably be just "data" in the applications lack ations, whether they're used by individual consumers or businesses, and whether they're on-premises or in the cloud, are often less than transparent about what they do with data they collect, according to experts. The lack of transparency as to what's being done post-data generation causes a lot of fear," davis praises some organizations for giving detailed information to users about how data is handled. He said some major data gatherers are less transparent and for a variety of reasons -- including the design of privacy controls and what constitutes opportunities that big data offer to impact social, cultural, political change in our lives are promising. The challenge on the flipside of that is the risk of unintended davisformer analyst at paris-based consultancy cap y because of their wide user bases and pioneering approaches to big data, facebook and google are often cited as examples when pundits examine issues of privacy and data ownership. Facebook has been the poster boy for data privacy, and maybe unfairly, considering who is gathering that amount of data," he said, adding that one of the reasons they have gained that image is privacy controls. But he does hope that companies begin to discuss these issues, with a focus on their own internal values and their expects data ownership questions to drive legislative agendas "sooner rather than later" and believes businesses would be smart to get out in front of the issue by aligning data policy with organizational culture and values. My intuition is that the question of data ownership is going to drive a lot of legislative agendas, and the reason is because people are going to want to protect their business models," he believes that eventually, businesses will need to make it clear up front how consumer data is being used. It will be interesting to see how [businesses] pull this off," he tells google to rethink cturer customer data should be handled data privacy questions for saas financial software was last published in november deeper on saas application cloud computing platforms fuel digital streaming analytics prescribes big data saas startup builds cloud-based alternative to only constant in integrating saas platforms is cloud computing platforms fuel digital saas startup builds cloud-based alternative to only constant in integrating saas platforms is -saas integration demands up-to-date developer practices for bpaas platform changes: is there a migration model? Saas providers gain streaming analytics prescribes big data application development on paas: 5 steps to reduce ive cloud slas should cover qa, uptime, availability and ways to achieve mobile saas apps all problem application development rests with secure apis in the vs. If you reside outside of the united states, you consent to having your personal data transferred to and processed in the united states. Sports can teach about data-driven decision-making lecturer ben shields says businesses can learn a lot about analytical decision-making from the progress sports teams have ... Data exploration a key first step for deeper data analysis is an important first step in any advanced analytics project -- and analysts and data scientists who ... The browser controls to adjust the font size, or print this is ethics in research & why is it important?
Ideas and opinions expressed in this essay are the author’s own and do not necessarily represent those of the nih, niehs, or us most people think of ethics (or morals), they think of rules for distinguishing between right and wrong, such as the golden rule ("do unto others as you would have them do unto you"), a code of professional conduct like the hippocratic oath ("first of all, do no harm"), a religious creed like the ten commandments ("thou shalt not kill... This is the most common way of defining "ethics": norms for conduct that distinguish between acceptable and unacceptable people learn ethical norms at home, at school, in church, or in other social settings. Although most societies use laws to enforce widely accepted moral standards and ethical and legal rules use similar concepts, ethics and law are not the same. Peaceful civil disobedience is an ethical way of protesting laws or expressing political r way of defining 'ethics' focuses on the disciplines that study standards of conduct, such as philosophy, theology, law, psychology, or sociology. One may also define ethics as a method, procedure, or perspective for deciding how to act and for analyzing complex problems and issues. For example, prohibitions against fabricating, falsifying, or misrepresenting research data promote the truth and minimize , since research often involves a great deal of cooperation and coordination among many different people in different disciplines and institutions, ethical standards promote the values that are essential to collaborative work, such as trust, accountability, mutual respect, and fairness. For example, many ethical norms in research, such as guidelines for authorship, copyright and patenting policies, data sharing policies, and confidentiality rules in peer review, are designed to protect intellectual property interests while encouraging collaboration. For example, a researcher who fabricates data in a clinical trial may harm or even kill patients, and a researcher who fails to abide by regulations and guidelines relating to radiation or biological safety may jeopardize his health and safety or the health and safety of staff and and policies for research the importance of ethics for the conduct of research, it should come as no surprise that many different professional associations, government agencies, and universities have adopted specific codes, rules, and policies relating to research ethics. Many government agencies, such as the national institutes of health (nih), the national science foundation (nsf), the food and drug administration (fda), the environmental protection agency (epa), and the us department of agriculture (usda) have ethics rules for funded researchers. Other influential research ethics policies include singapore statement on research integrity, the american chemical society, the chemist professional’s code of conduct, code of ethics (american society for clinical laboratory science) american psychological association, ethical principles of psychologists and code of conduct, statements on ethics and professional responsibility (american anthropological association), statement on professional ethics (american association of university professors), the nuremberg code and the world medical association's declaration of following is a rough and general summary of some ethical principals that various codes address*:Strive for honesty in all scientific communications. Do not deceive colleagues, research sponsors, or the to avoid bias in experimental design, data analysis, data interpretation, peer review, personnel decisions, grant writing, expert testimony, and other aspects of research where objectivity is expected or required. Keep good records of research activities, such as data collection, research design, and correspondence with agencies or data, results, ideas, tools, resources. He therefore decides to extrapolate from the 45 completed results to produce the 5 additional different research ethics policies would hold that tom has acted unethically by fabricating data. These are sometimes referred to as "other deviations" from acceptable research practices and include:Publishing the same paper in two different journals without telling the ting the same paper to different journals without telling the informing a collaborator of your intent to file a patent in order to make sure that you are the sole ing a colleague as an author on a paper in return for a favor even though the colleague did not make a serious contribution to the sing with your colleagues confidential data from a paper that you are reviewing for a data, ideas, or methods you learn about while reviewing a grant or a papers without ng outliers from a data set without discussing your reasons in an inappropriate statistical technique in order to enhance the significance of your ing the peer review process and announcing your results through a press conference without giving peers adequate information to review your ting a review of the literature that fails to acknowledge the contributions of other people in the field or relevant prior hing the truth on a grant application in order to convince reviewers that your project will make a significant contribution to the hing the truth on a job application or curriculum the same research project to two graduate students in order to see who can do it the rking, neglecting, or exploiting graduate or post-doctoral g to keep good research g to maintain research data for a reasonable period of derogatory comments and personal attacks in your review of author's ing a student a better grade for sexual a racist epithet in the significant deviations from the research protocol approved by your institution's animal care and use committee or institutional review board for human subjects research without telling the committee or the reporting an adverse event in a human research g animals in ng students and staff to biological risks in violation of your institution's biosafety ging someone's ng supplies, books, or g an experiment so you know how it will turn unauthorized copies of data, papers, or computer over $10,000 in stock in a company that sponsors your research and not disclosing this financial rately overestimating the clinical significance of a new drug in order to obtain economic actions would be regarded as unethical by most scientists and some might even be illegal in some cases. She has an impressive dataset that includes information on demographics, environmental exposures, diet, genetics, and various disease outcomes such as cancer, parkinson’s disease (pd), and als. She receives a request from another research team that wants access to her complete dataset.
On the one hand, the ethical norm of openness obliges her to share data with the other research team. On the other hand, if she shares data with the other team, they may publish results that she was planning to publish, thus depriving her (and her team) of recognition and priority. One possible option is to share data, provided that the investigators sign a data use agreement. University or funding agency may have policies on data management that apply to this case. May be useful to seek advice from a colleague, a senior researcher, your department chair, an ethics or compliance officer, or anyone else you can trust. The nih and nsf have both mandated training in research ethics for students and trainees. Many academic institutions outside of the us have also developed educational curricula in research of you who are taking or have taken courses in research ethics may be wondering why you are required to have education in research ethics. Indeed, you also may believe that most of your colleagues are highly ethical and that there is no ethics problem in research.. See shamoo and resnik (2015), cited y, it would be useful to have more data on this topic, but so far there is no evidence that science has become ethically corrupt, despite some highly publicized scandals. In any case, a course in research ethics will have little impact on "bad apples," one might ing to the "stressful" or "imperfect" environment theory, misconduct occurs because various institutional pressures, incentives, and constraints encourage people to commit misconduct, such as pressures to publish or obtain grants or contracts, career ambitions, the pursuit of profit or fame, poor supervision of students and trainees, and poor oversight of researchers (see shamoo and resnik 2015). In any case, a course in research ethics can be useful in helping to prevent deviations from norms even if it does not prevent misconduct. Education in research ethics is can help people get a better understanding of ethical standards, policies, and issues and improve ethical judgment and decision making. Maybe a physician thinks that it is perfectly appropriate to receive a $300 finder’s fee for referring patients into a clinical "deviations" from ethical conduct occur in research as a result of ignorance or a failure to reflect critically on problematic traditions, then a course in research ethics may help reduce the rate of serious deviations by improving the researcher's understanding of ethics and by sensitizing him or her to the y, education in research ethics should be able to help researchers grapple with the ethical dilemmas they are likely to encounter by introducing them to important concepts, tools, principles, and methods that can be useful in resolving these dilemmas. Icist and niehs irb d@ the browser controls to adjust the font size, or print this is ethics in research & why is it important? Icist and niehs irb d@ormational ormational 27, 2014 @ 02:17 ethics of big your ellen rooney rapid ascent of data mining in corporate america has garnered lots of media attention lately and not always in a flattering way. As companies seek to capture data about consumer habits, privacy concerns have time you click on a website, post on social media, use a mobile app and comment via email or to call centers, your data is collected for future use.
Every business sector now collects data of one form or another, and the future marketplace will have even more computing power at their fingertips to mine customer behavior. But, experts say, companies can collect and analyze confidential data in a way that doesn't alarm their customers or compromise privacy. Schmarzo says companies risk annoying consumers when using data collected about an individual to tailor messaging and offers. I think the biggest concerns are related to organizations using my personal identifiable data, usage and storage against me," says schmarzo. But the bigger concerns are related to unsanctioned organizations using my data and inferences about my interests, passions, affiliations and associations for borderline uses about my political, religious, sexual, etc. Before a marketing plan based on big data is in place, companies should decide what information would be helpful and limit themselves to just that. Rather than way companies can harness this power while heeding privacy worries is to aggregate their data, says hui xiong, associate professor of management science and information systems at rutgers business school, new ies can create algorithms that identify patterns but protect individual identities. According to xiong, if the data shows 50 people following a particular shopping pattern, stop there and act on that data rather than mining further and potentially exposing individual behavior. Because they understand data so well, companies like google typically have the strongest parameters in place for analyzing and protecting the data they collect, he says. Those companies also understand that data is money so they are hiring the best talent in data science to perform their analyses. When analyzing collected data, data scientists should be very careful revealing their findings, xiong professor believes big data collection in itself is pure technology; the ethics come into the analysis through scientists and company directives. In my opinion, the government should have proper regulations about how and what kind of data should be collected," xiong says. Many traditional retailers haven't grasped the potential of data mining yet, he says, so they haven't put the necessary safeguards in place to protect consumers. They don’t put as much importance on the data they collect as they do on the merchandise in their stores, which he views as a mistake. Xiong says gradually companies will become aware of the importance of data and will hire talent to maintain the storage, maintenance and protection of the data they collect, but there's a learning curve. I believe whomever owns the company's brand and reputation needs to own this trust and ethics issue, which probably has to start with the ceo," schmarzo says.
