Philosophy of Big Data: Expanding the Human-Data Relation with Big Data Science Services

Abstract

Big data is growing as an area of information technology, service, and science, and so too is the need for its intellectual understanding and interpretation from a theoretical, philosophical, and societal perspective. The Philosophy of Big Data is the branch of philosophy concerned with the foundations, methods, and implications of big data; the definitions, meaning, conceptualization, knowledge possibilities, truth standards, and practices in situations involving very-large data sets that are big in volume, velocity, variety, veracity, and variability. The Philosophy of Big Data is evolving into a discipline at two levels, one internal to the field as a generalized articulation of the concepts, theory, and systems that comprise the overall conduct of big data science. The other is external to the field; as a consideration of the impact of big data science more broadly on individuals, society, and the world. Methods, tools, and concepts are evaluated at both the level of industry practice theory and social impact. Three aspects are considered: what might constitute a Philosophy of Big Data, how the disciplines of the Philosophy of Information and the Philosophy of Big Data are developing, and an example of the Philosophy of Big Data in application in the data-intensive science field of Synthetic Biology. Overall a Philosophy of Big Data might helpful in conceptualizing and realizing big data science as a service practice, and also in transitioning to data-rich futures with human and data entities more productively co-existing in mutual growth and collaboration. Keywords-big data; philosophy; information; scientific method; research; methodology; human-data relations "The Philosophy of Information is a completely new development with a capacity to revolutionize philosophy and human interactions with science, technology, data, and reality" -Luciano Floridi, Philosophy of Information, Oxford [1].

Review on Big Data & Analytics – Concepts, Philosophy, Process and Applications

“…As depicted in the Fig. 5, Big Data has defined by the below seven characteristics [13,14] 15,16]. Data such as emails, videos, pdf's, logs, images, excel sheets, etc., are different varieties of data.…”

“…Any data can be organized into one of the below mentioned three types [5] such as structured data, semi-structured data and unstructured data. Velocity is pace at which data generated and flowing from the data sources [1, 15,16] like business process, machine generated data and human interactions with computer, etc. In simple data generated by machines, processes, human interactions, sensor generated data are generated at a high velocity.…”

“…Veracity refers to the biased such as partial, falsity such as inaccuracy, noisy [1,16], such as unclear and abnormalities in data. It is very challenging job to deal with veracity in data for doing analysis.…”

That dashboard looks nice, but what does it mean?

“…We acknowledge that all UX experience involves some level of interpretation and sense-making, but we argue that not all UIs make clear the requirement for a user to gain a full and rich understanding of that which the system is presenting to them. This has been acknowledged as a still unresolved issue in the space of interaction design, particularly for those interactions that users must have with data representations (see [25] p. 473).…”

A Study on Security of Big Data Stored on Cloud Platforms

“…There is a need to understand what it means, and its interpretation from a technical perspective. An insight into this could be provided by studying the Philosophy of Big Data [1] ; the definitions and meanings regarding data that is 'big' in volume, velocity and variability. Cloud Computing is an upcoming service/platform that allows users to store their data online and reduces the need to invest in physical infrastructure that would be necessary to store the data locally.…”