Big Data – broadly considered as datasets whose size, complexity, and heterogeneity preclude conventional approaches to storage and analysis – continues to generate interest across many scientific domains in both the public and private sectors. However, analyses of large heterogeneous datasets can suffer from unidentified bias, misleading correlations, and increased risk of false positives. In order for the proliferation of data to produce new scientific discoveries, it is essential that the statistical models used for analysis support reliable, reproducible inference. The National Academies of Sciences, Engineering, and Medicine convened a workshop to discuss how scientific inference should be applied when working with large, complex datasets.
National Academies of Sciences, Engineering, and Medicine. 2016. Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop—in Brief. Washington, DC: The National Academies Press. https://doi.org/10.17226/23616.
|Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop-in Brief||1-4|
The Chapter Skim search tool presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter. You may select key terms to highlight them within pages of each chapter.
The National Academies Press (NAP) has partnered with Copyright Clearance Center's Rightslink service to offer you a variety of options for reusing NAP content. Through Rightslink, you may request permission to reprint NAP content in another publication, course pack, secure website, or other media. Rightslink allows you to instantly obtain permission, pay related fees, and print a license directly from the NAP website. The complete terms and conditions of your reuse license can be found in the license agreement that will be made available to you during the online order process. To request permission through Rightslink you are required to create an account by filling out a simple online form. The following list describes license reuses offered by the National Academies Press (NAP) through Rightslink:
Click here to obtain permission for the above reuses. If you have questions or comments concerning the Rightslink service, please contact:
Rightslink Customer Care
Tel (toll free): 877/622-5543
To request permission to distribute a PDF, please contact our Customer Service Department at 800-624-6242 for pricing.
To request permission to translate a book published by the National Academies Press or its imprint, the Joseph Henry Press, pleaseclick here to view more information.