Challenges Related to Identifying Sources and Document Collection for Big Data Analyses
Challenges Related to Identifying Sources and Document Collection for Big Data Analyses

Summary/Abstract: For some time now we have been witnessing a gradual but dynamic increase in the volume of information, the existence of which has had an increasing effect on our lives. The amount of digital data generated daily is estimated at 3 trillion bytes, and continues to grow by the day (Global AI Bootcamp, 2018). This is a result of data being generated by various digital platforms, as well as sensors, the Internet and the billions of cell phones used every day (Henke et al., 2016). The mass storage capacity of these devices is increasing, and the cost of storing data is declining rapidly. The information overflow which occurred during the first decade of the 21st century was accompanied by phenomena such as the rapid influx of information and knowledge, but also the intensification of information chaos (Babik, 2010, p. 22). The creation of mass information resources is a global phenomenon affecting various areas of life, science, culture, the economy, etc. It is thus no wonder that Płoszajski (2013, p. 6) claims that we are witnessing the advent of a revolution which brings with it unlimited data processing as a result of the exponential growth in computing power, as well as broader and more affordable access to the data.

• Details
• Contents