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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 ...
Participant observation is one type of data collection method by practitioner-scholars typically used in qualitative research and ethnography.This type of methodology is employed in many disciplines, particularly anthropology (including cultural anthropology and ethnology), sociology (including sociology of culture and cultural criminology), communication studies, human geography, and social ...
In contrast to standardized research methods, recursivity embodies the idea that the qualitative researcher can change a study's design during the data collection phase. [12] Recursivity in qualitative research procedures contrasts to the methods used by scientists who conduct experiments. From the perspective of the scientist, data collection ...
While the term "data mining" itself may have no ethical implications, it is often associated with the mining of information in relation to user behavior (ethical and otherwise). [27] The ways in which data mining can be used can in some cases and contexts raise questions regarding privacy, legality, and ethics. [28]
The characteristics of the research itself are equal to those in qualitative methods overall. However, the characteristics as they relate to criminology relate most closely to the research's applicability. Generally, qualitative methods are used to supplement quantitative data – particularly by establishing background and/or applicability. [2]
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]
An entity may also be offering goods or services in exchange for the client's personal information. This type of collection method may seem valuable to a user due to the fact that the transaction appears to be free in the monetary sense. This forms a type of social contract between the entity offering the goods or services and the client.