{"id":3143,"date":"2013-10-30T09:48:43","date_gmt":"2013-10-30T13:48:43","guid":{"rendered":"http:\/\/blogs.lib.purdue.edu\/news\/?p=3143"},"modified":"2013-10-30T21:57:11","modified_gmt":"2013-10-31T01:57:11","slug":"victoria-stodden-lecture-oct-25-on-open-research-data-and-code-now-available-for-online-viewing","status":"publish","type":"post","link":"https:\/\/blogs.lib.purdue.edu\/news\/2013\/10\/30\/victoria-stodden-lecture-oct-25-on-open-research-data-and-code-now-available-for-online-viewing\/","title":{"rendered":"Victoria Stodden Lecture (Oct. 25) on Open Research Data and Code now Available for Online Viewing"},"content":{"rendered":"<p><!--[if gte mso 9]&gt;--><\/p>\n<p><!--[if gte mso 9]&gt;--><\/p>\n<p class=\"MsoNormal\"><span style=\"font-size: 12.0pt;font-family: 'Times New Roman','serif'\">The Universal streaming archive of the October 25, 2013 \u201cScientific Reproducibility: Opportunities and Challenges for Open Research Data and Code\u201d presentation by Victoria Stodden is available for online viewing at the following URL:<\/span><\/p>\n<p class=\"MsoPlainText\"><span style=\"font-size: 12.0pt;font-family: 'Times New Roman','serif'\"><a href=\"http:\/\/www.kaltura.com\/index.php\/extwidget\/preview\/partner_id\/1020782\/uiconf_id\/20418672\/entry_id\/1_bns3or07\/embed\/legacy?&amp;flashvars%5bstreamerType%5d=auto\">Victoria Stodden Presentation<\/a><\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 12.0pt;font-family: 'Times New Roman','serif'\">Abstract:<\/span><\/b><span style=\"font-size: 12.0pt;font-family: 'Times New Roman','serif'\">\u00a0 It is now widely recognized that the traditional published article is insufficient to permit verification of computational results. The emergence of powerful computational hardware combined with vast data collection and storage capabilities presents many novel opportunities for researchers. Unfortunately current standards for communication of published computational findings make verification and validation next to impossible. A movement toward reproducible research \u2013 dissemination that includes sufficient experimental details such that results can be replicated by others in the field, i.e. the code and the data \u2013 has developed in many disciplines and research areas to address this shortcoming in research communication. In this talk Dr. Stodden will explore the problem and address solutions emerging from researchers and institutions, federal policy efforts, and journal publication standards.<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 12.0pt;font-family: 'Times New Roman','serif'\">Bio:<\/span><\/b><span style=\"font-size: 12.0pt;font-family: 'Times New Roman','serif'\"> Victoria Stodden is an assistant professor of Statistics at Columbia University whose 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.\u00a0 Her work has resulted in platforms and tools such as SparseLab, RunMyCode.org, and the Reproducible Research Standard. Stodden is a member of the National Science Foundation\u2019s Advisory Committee on Cyberinfrastructure, the Mathematics and Physical Sciences Directorate Subcommittee on Support for the Statistical Sciences at NSF, the National Academies of Science committee on Responsible Science: Ensuring the Integrity of the Research Process, and several committees in the American Statistical Association. She completed her PhD in Statistics and her law degree at Stanford University, and her Erd\u00f6s Number is 3.<\/span><\/p>\n<p class=\"MsoNormal\"><span style=\"font-size: 12.0pt;font-family: 'Times New Roman','serif'\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Universal streaming archive of the October 25, 2013 \u201cScientific Reproducibility: Opportunities and Challenges for Open Research Data and Code\u201d presentation by Victoria Stodden is available for online viewing at the following URL: Victoria Stodden Presentation Abstract:\u00a0 It is now widely recognized that the traditional published article is insufficient to permit verification of computational results. 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