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【2019新书】Collecting Experiments: Making Big Data Biology [推广有奖]

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slowry 发表于 2019-10-4 13:24:11 |AI写论文

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Collecting Experiments: Making Big Data Biology
by Bruno J. Strasser (Author)

About the Author
Bruno J. Strasser is professor at the University of Geneva and adjunct professor at Yale University.

About this book
Databases have revolutionized nearly every aspect of our lives. Information of all sorts is being collected on a massive scale, from Google to Facebook and well beyond. But as the amount of information in databases explodes, we are forced to reassess our ideas about what knowledge is, how it is produced, to whom it belongs, and who can be credited for producing it.
Every scientist working today draws on databases to produce scientific knowledge. Databases have become more common than microscopes, voltmeters, and test tubes, and the increasing amount of data has led to major changes in research practices and profound reflections on the proper professional roles of data producers, collectors, curators, and analysts.
Collecting Experiments traces the development and use of data collections, especially in the experimental life sciences, from the early twentieth century to the present. It shows that the current revolution is best understood as the coming together of two older ways of knowing—collecting and experimenting, the museum and the laboratory. Ultimately, Bruno J. Strasser argues that by serving as knowledge repositories, as well as indispensable tools for producing new knowledge, these databases function as digital museums for the twenty-first century.

Brief contents
Introduction 1
    Biology, Computers, Data 6
    Biology Transformed 8
    Naturalists vs. Experimentalists? 11
    The Laboratory and Experimentalism 21
    The Museum and Natural History 24
1 Live Museums 29
    Microbes at the American Museum of Natural History 33
    The Industrialization of Mice 40
    Corn in an Agricultural Station 44
    Sharing Flies 49
    Viruses, Bacteria, and the Rise of Molecular Genetics 54
    Putting Stock Centers on the Federal Agenda 58
    Biological Collections Become Mainstream 63
2 Blood Banks 67
    Measuring Species, ca. 1900 69
    Alan A. Boyden’s Serological Systematics 74
    A Museum in a Laboratory 81
    Between Field and Laboratory: Charles G. Sibley 89
    Collecting in the Field 92
    Hybridization, Not Invasion 105
3 Data Atlases 113
    Understanding How Proteins Work 117
    Cracking the Genetic Code 121
    From the Field to the Laboratory 124
    Margaret O. Dayhoff, Computers, and Proteins 127
    The Atlas of Protein Sequence and Structure 135
    A Work of Compilation? 139
    The Gender of Collecting 146
    Research with the Atlas 147
    Whose Data? Whose Database? 151
4 Virtual Collections 155
    From Physical to Virtual Models 159
    The Systematic Study of Protein Structures 163
    The Creation of the Protein Data Bank 169
    The Natural History of Macromolecules 174
    Privacy, Priority, and Property 181
    A New Tool for Research 189
5 Public Databases 195
    Information Overload on the Horizon 197
    Margaret O. Dayhoff vs. Walter B. Goad 202
    Europe Takes the Lead 205
    Mobilizing the National Institutes of Health 212
    Collecting Data, Negotiating Credit and Access 214
    Distributing Data, Negotiating Ownership 219
    A Conservative Revolution 224
6 Open Science 227
    Databases, Journals, and the Gatekeepers of Scientific Knowledge 228
    Databases and the Production of Experimental Knowledge 237
    Sequence Databases, Genomics, and Computer Networks 239
    The Rise of Open Science 244
    Databases, Journals, and the Record of Science 252
Conclusion 255
    The End of Model Organisms? 256
    The New Politics of Knowledge 263
Archives Consulted 273
Bibliography 275
Notes 317
Index 387

Pages: 392 pages
Publisher: University of Chicago Press; First edition (June 4, 2019)
Language: English
ISBN-10: 022663504X
ISBN-13: 978-0226635040

UC__Collecting Experiments_Making Big Data Biology.pdf (6.79 MB, 需要: 15 个论坛币)

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