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Cover of Big data, little data, no data

Big data, little data, no data

383 pages

A rigorous, thought-provoking exploration of the invisible infrastructures that shape how we create, value, and share knowledge.

What it feels like

Reading this book feels like stepping behind the curtain of modern scholarship to examine the very scaffolding of human knowledge. It moves at a steady, deliberate pace, stripping away the media hype surrounding modern information trends to reveal a complex, deeply human ecology of practices, institutions, and technologies. The tone is authoritative yet accessible, guiding the reader through a rigorous intellectual landscape with clarity and purpose. Rather than a dry technical manual, it offers a contemplative, structured atmosphere that invites deep reflection on how information is valued, shared, and preserved across disciplines. It will deeply satisfy researchers, librarians, and policy-minded readers who crave a nuanced, critical look at the future of academic infrastructure and the hidden labor that sustains it.

Mood
  • intellectual
  • serious
  • contemplative
  • structured
Tone
  • analytical
  • authoritative
  • critical
  • thoughtful
Pace
steady
Themes
the ecology of knowledge · the value of context · the future of scholarship · information infrastructure · the hidden labor of research
The writing
Clear, authoritative, and structured, designed to provoke discussion and untangle complex academic ecologies.
The arc
Moves from a critical deconstruction of media hype to a grounded, expansive appreciation for the complex ecosystems of scholarly research.
Who it's for
Academics, researchers, and policy makers interested in the philosophy, infrastructure, and future of information.

About the book

"Big data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data - because relevant data don't exist, cannot be found, or are not available. Moreoever, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure - an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation - six "provocations" meant to inspire discussion about the uses of data in scholarship - Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship. -- from dust jacket.

Description from Open Library.

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