ISBN10: 0262028565, ISBN13: 9780262028561, [publisher: Cambridge, Massachusetts : The MIT Press] Hardcover Inscribed by author. xxv, 383 pages ; 24 cm Contents: Preface -- Provocations -- What are data? -- Data scholarship -- Data diversity -- Data scholarship in the sciences -- Data scholarship in the social sciences -- Data scholarship in the humanities -- Releasing, sharing, and reusing data -- Credit, attribution, and discovery -- What to keep and why. "An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities.'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 [the author] 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. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. [The author] 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 ...