Introduction

Sandra L. Hofferth, Emilio F. Moran, Barbara Entwisle, J. Lawrence Aber, Henry E. Brady, Dalton Conley, Susan L. Cutter, Catherine Eckel, Darrick Hamilton and Klaus Hubacek

The ANNALS of the American Academy of Political and Social Science, 2017, vol. 669, issue 1, 6-17

Abstract: Big data, that is, data that are byproducts of our lives rather than designed for research purposes, are the newest of the information highway innovations. One of the important challenges to social and behavioral science data collection, curation, and dissemination for the foreseeable future is to link diverse forms of data in a way that is cumulative, representative, meaningful, and accessible to a broad range of researchers. It is critical to explore the new questions these data can address and to develop new methods to address them, including linking persons and information about them and their environments across different data platforms while maintaining confidentiality and privacy. Linking a broad array of information—from administrative data (local and state and regional), to social media (Twitter, Facebook), to census and other surveys, to ethnographic data, and data from experiments such as randomized controlled trials—to address how humans and their communities make decisions is challenging. This issue was addressed by papers presented at a conference on New Data Linkages convened by the Social Observatories Coordinating Network in 2016; those articles are brought together in this volume.

Keywords: big data; social science; systems science; data analytics; knowledge generation; survey research; administrative data (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:anname:v:669:y:2017:i:1:p:6-17

DOI: 10.1177/0002716216682715

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