Big data in history

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Full title: Big data in history [electronic resource] / Patrick Manning.
Main author: Manning, Patrick, 1941- (Author)
Corporate Authors: dawsonera
Format: eBook           
Online access: Connect to electronic book via dawsonera.

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020 |a 1137378972  |q (electronic bk.) 
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500 |a Restrictions on access to electronic version: access available to SOAS staff and students only, using SOAS id and password. 
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100 1 |a Manning, Patrick,  |d 1941-  |e author. 
245 1 0 |a Big data in history  |h [electronic resource] /  |c Patrick Manning. 
264 1 |a Basingstoke :  |b Palgrave Macmillan,  |c 2013. 
300 |a 1 online resource (viii, 119 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Palgrave pivot 
504 |a Includes bibliographical references and index. 
505 0 |a 1.Challenges of Big Data in History -- 2.The Need to Know Our Global Past -- 3.CHIA: Its Collaborative Mission, Structure, and Innovation -- 4.Mission 1: Assembling and Documenting the Data -- 5.Mission 2: Creating a Comprehensive Historical Archive -- 6.Mission 3: Analyzing and Visualizing Data Worldwide -- 7.Comparisons: Big Data across Time and Disciplines -- 8.Priorities for CHIA; Benefits of CHIA. 
520 |a "Big Data in History" introduces a project to create a world-historical archive that will trace the last four centuries of historical dynamics and change. The archive will link research on social, economic, and political affairs, plus health and climate, for societies throughout the world. The care, detail, and advanced technology that go into building such an archive are outlined in this book, and the benefits of gathering and disseminating data from our long history are clearly mapped out. Chapters address the archive's overall plan, how to interpret the past through a global archive, how to organize historical research on five continents, and the missions of gathering widespread records, linking local data into global patterns, and exploring the results. The concluding chapters summarize project plans and compare it with two major and successful projects in worldwide data: the modelling of climate and documenting the human genome. 
588 0 |a Print version record. 
650 0 |a History  |x Data processing. 
650 0 |a Big data. 
650 0 |a Library materials. 
655 4 |a Electronic books. 
776 0 8 |i Print version:  |z 9781137378965  |z 1137378964 
830 0 |a Palgrave pivot. 
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945 |a 09/09/2016 09:26:39  |b 19/10/2016 11:41:54 
945 |u  |z Connect to electronic book via dawsonera.  |i 29405