Data Scholarship: A BIT of Big Data, Little Data, No Data

by Christine L. Borgman

Despite the media hyperbole about "Big Data," having the right data is usually better than having more data; little data can be just as valuable as big data. This BIT examines the complex set of relationships between data and scholarly research. In it, Christine Borgman, an often-cited authority on scholarly communication, looks at, among other things, knowledge infrastructures, social and technical aspects of digital scholarship, collaboration and community, open access publishing, and open data.Purchasers of this MIT Press BIT will also receive a discount code (good on the MIT Press website only) for 40% off the price of the book Big Data, Little Data, No Data, from which this BIT is excerpted. Please email mitbits@mit.edu with your order number to receive your discount code.

33 pages, Kindle Edition

Published April 1, 2015