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How the regimes governing biological research changed during the genomics revolution, focusing on the Human Genome Project. The rise of genomics engendered intense struggle over the control of knowledge. In Reordering Life, Stephen Hilgartner examines the “genomics revolution” and develops a novel approach to studying the dynamics of change in knowledge and control. Hilgartner focuses on the Human Genome Project (HGP)—the symbolic and scientific centerpiece of the emerging field—showing how problems of governance arose in concert with new knowledge and technology. Using a theoretical framework that analyzes “knowledge control regimes,” Hilgartner investigates change in how contro...
"Science in the Archives" reveals affinities and continuities among the sciences of the archives, across many disciplines and centuries, in order to present a better picture of essential archival practices and, thereby, the meaning of science. For in both the natural and human sciences, archives of the most diverse forms make cumulative, collective knowledge possible. Yet in contrast to laboratories, observatories, or the field, archives have yet to be studied across the board as central sites of science. The volume covers episodes in the history of astronomy, geology, genetics, classical philology, climatology, history, medicine, and ancient natural philosophy, as well as fundamental practices such as collecting, retrieval strategies, and data mining. The time frame spans doxology in Greco-Roman antiquity to NSA surveillance techniques and the quantified-self movement. Each chapter explores the practices, politics, economics, and open-ended potential of the sciences of the archives, making this the first book devoted to the role of archives in the natural and human sciences.
First multi-year cumulation covers six years: 1965-70.
During the last decade, the unparalleled growth of biomolecular data--particularly nucleic acid sequences--has led to extraordinary breakthroughs in biotechnology. But the accompanying development of specialized databases has inevitably resulted in restrictions, for example, in accessing data and manipulating it, that could curb further advances in the biological sciences. Biomolecular Data examines both the strengths and shortcomings of today's databases, and explores a variety of proposals for developing advanced database systems that will help sustain scientific progress in the future. The contributors, including noted specialists in database management, address issues such as improving quality control of data, ensuring timeliness and reliability, data documentation, peer review, computer education and training. As Biomolecular Data makes clear, the value of databases will continue to depend on both innovation in data management and cooperation among data managers, scientists, journal editors and sponsoring organizations.
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