{"product_id":"big-data-little-data-no-data-isbn-9780262529914","title":"Big Data, Little Data, No Data","description":"\u003cb\u003eAn examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities.\u003c\/b\u003e\u003cp\u003e“Big Data” is on the covers of \u003ci\u003eScience, Nature\u003c\/i\u003e, the \u003ci\u003eEconomist\u003c\/i\u003e, and \u003ci\u003eWired\u003c\/i\u003e magazines, on the front pages of the \u003ci\u003eWall Street Journal\u003c\/i\u003e and the \u003ci\u003eNew York Times.\u003c\/i\u003e 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. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.\u003c\/p\u003e\u003cp\u003eBorgman, 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.\u003c\/p\u003eThis reading might be of enormous value to interdisciplinary scholars, seeking to test or adapt different data methods, but also for students, that need to get introduced to them. Without holding back, I would recommend this book, for its clarity, well-organised arguments and throughout approach as a university handbook in the area. It is more than enough to get known to status, practices and procedures concerning any type of data in different research field areas.—\u003ci\u003eLeonardo\u003c\/i\u003e—\u003cbr\u003e\u003cp\u003eBig Data, Little Data, No Data is no mere bibliography or literature review, nor is it a how-to-do-it manual on data curation. It is an extended thought-piece, firmly grounded in the author's extensive experience with all-things data, and her knowledge of the work and writings of hundreds of other scholars over time.\u003c\/p\u003e—\u003ci\u003eJournal of the Association for Information Science and Technology\u003c\/i\u003e—Christine L. Borgman is Professor and Presidential Chair in Information Studies at the University of California, Los Angeles. She is the author of \u003ci\u003eFrom Gutenberg to the Global Information Infrastructure \u003c\/i\u003eand \u003ci\u003eScholarship in the Digital\u003c\/i\u003e Age (both winners of the “Best Information Science Book” award from ASIS\u0026amp;T), published by the MIT Press.","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46305325908197,"sku":"NP9780262529914","price":30.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262529914.jpg?v=1767722588","url":"https:\/\/k12savings.com\/products\/big-data-little-data-no-data-isbn-9780262529914","provider":"K12savings","version":"1.0","type":"link"}