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☝️ Big Data 2

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Foster, I., Ghani, R., Jarmin, R. S., Kreuter, F. & Lane, J. (2016) Big Data and Social Science: A Practical Guide to Methods and Tools. Chemical Rubber Company Press: United States of America, Florida (FL), Palm Beach, Boca Raton. [ISBN: 9781498751407]. [Available on: Amazon:

▰ Sources. 〓 Books [B] ▱ T&F. ↂ EndNote. 2016 - [Book]-[9781498751407] - (Foster) Big Data and Social Science: A Practical Guide to Methods and Tools. Review "This book builds a nice bridge connecting social science and big data methodology. Big data such as social media and electronic health records, empowered by the advances in information technology, are an emerging phenomenon in recent years and present unprecedented opportunities for social science research. This book was written by pioneering scientists in applying big data methods to address social science problems.

As shown by numerous examples in the book, social science could benefit significantly by embracing the new mode of big data and taking advantage of the technical progress in analysing such data. If you work in social science and would like to explore the power of big data, this book is clearly for you. Indeed, if you do not have previous experience in dealing with big data, you should read this book first, before implementing a big-data project. "The typical statistics pedagogy has changed. About the Author Ron S.

Big Data and Social Science: A Practical Guide to Methods and Tools. Table of Contents Introduction Why this book? Defining big data and its value Social science, inference, and big data Social science, data quality, and big data New tools for new data The book’s "use case" The structure of the book Resources Capture and Curation Working with Web Data and APIs Introduction Scraping information from the web New data in the research enterprise A functional view Programming against an API Using the ORCID API via a wrapper Quality, scope, and management Integrating data from multiple sources Working with the graph of relationships Bringing it together: Tracking pathways to impact Summary Resources Acknowledgements and copyright Record Linkage Motivation Introduction to record linkage Preprocessing data Classification Record linkage and data protection Summary Resources Databases Introduction DBMS: When and why Relational DBMSsLinking DBMSs and other tools NoSQL databases Spatial databases Which database to use?

Summary Resources Bibliography Editor(s) Bio Ron S.