Listed below are options available for you to contact a reference librarian and ask for help with your research.
Charles Greenberg is the original author of this guide, which he updated through July 2019.
In the sciences, one of the key determinants is the law of large numbers, which states that the more times a researcher repeats a given experiment, the closer that researcher comes to determining an average value that defines the results of that experiment. Translated, this is simply a way of expressing confidence that ever-larger data sets will offer ever-more verifiable conclusions.Certain physical sciences deal with extremely large numbers such as atmospheric concentrations of carbon dioxide for climatology or genetic sequencing in biology.Until recently, such was rarely the case in the humanities.
SOURCE: Burdick, A., Drucker, J., Lunenfeld, P., Pressner, T., & Schnapp, J. (2012). Digital Humanities. Cambridge, MA: Massachuetts Institute of Technology. Retrieved from https://mitpress.mit.edu/books/digitalhumanities
This book provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book also covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences.
This book demonstrates the inevitability of a continuously growing role of data in our society and it stresses that this role does not need to be threatening. The authors sketch the contours of a new information society, in which everything will be measured from our heartbeat during our morning run to the music we listen to and our walking patterns through department stores and they discuss the resistances within the society that have to be overcome.
