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Articles 1 - 4 of 4
Full-Text Articles in Library and Information Science
Veracity Roadmap: Is Big Data Objective, Truthful And Credible?, Victoria Rubin, Tatiana Lukoianova
Veracity Roadmap: Is Big Data Objective, Truthful And Credible?, Victoria Rubin, Tatiana Lukoianova
FIMS Publications
This paper argues that big data can possess different characteristics, which affect its quality. Depending on its origin, data processing technologies, and methodologies used for data collection and scientific discoveries, big data can have biases, ambiguities, and inaccuracies which need to be identified and accounted for to reduce inference errors and improve the accuracy of generated insights. Big data veracity is now being recognized as a necessary property for its utilization, complementing the three previously established quality dimensions (volume, variety, and velocity), But there has been little discussion of the concept of veracity thus far. This paper provides a roadmap …
Who Will Archive The Archives? Thoughts About The Future Of Web Archiving, Michael L. Nelson, Scott G. Ainsworth, Ahmed Alsum, Justin F. Brunelle, Mat Kelly, Hany Salaheldeen, Michele C. Weigle, Robert Sanderson, Herbert Van De Sompel
Who Will Archive The Archives? Thoughts About The Future Of Web Archiving, Michael L. Nelson, Scott G. Ainsworth, Ahmed Alsum, Justin F. Brunelle, Mat Kelly, Hany Salaheldeen, Michele C. Weigle, Robert Sanderson, Herbert Van De Sompel
Computer Science Presentations
PDF of a powerpoint presentation from the Wolfram Data Summit 2013 in Washington D.C., September 5-6, 2013. Also available on Slideshare.
Scholarship In The Networked World: Big Data, Little Data, No Data, Christine L. Borgman
Scholarship In The Networked World: Big Data, Little Data, No Data, Christine L. Borgman
Christine L. Borgman
Scholars are expected to publish the results of their work in journals, books, and other venues. Now they are being asked to publish their data as well, which marks a fundamental transition in scholarly communication. Data are not shiny objects that are easily exchanged. Rather, they are fuzzy and poorly bounded entities. The enthusiasm for "big data" is obscuring the complexity and diversity of data and of data practices across the disciplines. Data flows are uneven– abundant in some areas and sparse in others, easily or rarely shared. Open access and open data are contested concepts that are often conflated. …
The Role Of Big Data In The Social Sciences, Steven Ovadia
The Role Of Big Data In The Social Sciences, Steven Ovadia
Publications and Research
This article explores the role of big data in the social sciences and reviews some online sources of large data sets.