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2015 Open Access Week Keynote Address: Victoria Stodden ; Victoria Stodden: Scholarly Communication in the Era of Big Data and Big Computation

Title: 2015 Open Access Week Keynote Address: Victoria Stodden ; Victoria Stodden: Scholarly Communication in the Era of Big Data and Big Computation
Authors: Stodden, Victoria
Contributors: McVoy, Elizabeth; Virginia Tech. University Libraries; Virginia Tech. Division of Computational Modeling and Data Analytics; Virginia Tech. Department of Computer Science; Virginia Tech. Department of Statistics; Virginia Tech. Laboratory for Interdisciplinary Statistical Analysis (LISA); Virginia Bioinformatics Institute
Publisher Information: Virginia Tech. University Libraries
Publication Year: 2015
Collection: VTechWorks (VirginiaTech)
Subject Terms: Open access; Reproducible research; Computational science; Analytics
Description: Victoria Stodden gave the keynote address for Open Access Week 2015. "Scholarly communication in the era of big data and big computation" was sponsored by the University Libraries, Computational Modeling and Data Analytics, the Department of Computer Science, the Department of Statistics, the Laboratory for Interdisciplinary Statistical Analysis (LISA), and the Virginia Bioinformatics Institute. Victoria Stodden is an associate professor in the Graduate School of Library and Information Science at the University of Illinois at Urbana-Champaign. She completed both her PhD in statistics and her law degree at Stanford University. Her research centers on the multifaceted problem of enabling reproducibility in computational science. This includes studying adequacy and robustness in replicated results, designing and implementing validation systems, developing standards of openness for data and code sharing, and resolving legal and policy barriers to disseminating reproducible research. ; Virginia Tech. University Libraries ; Virginia Tech. Division of Computational Modeling and Data Analytics ; Virginia Tech. Department of Computer Science ; Virginia Tech. Department of Statistics ; Virginia Tech. Laboratory for Interdisciplinary Statistical Analysis (LISA) ; Virginia Bioinformatics Institute
Document Type: conference object; moving image (video)
File Description: 77 min.; 2.26 GB; video/mp4; video/webm; text/vtt
Language: English
Relation: Open Access Week; 2015_OA_Week_Keynote.mp4; https://hdl.handle.net/10919/63898
Availability: https://hdl.handle.net/10919/63898
Rights: In Copyright ; http://rightsstatements.org/vocab/InC/1.0/ ; Virginia Tech. University Libraries
Accession Number: edsbas.DD7DC1F9
Database: BASE