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Session Type: Invited Speaker Session
“Open science” is an increasingly common term for transparency, accessibility, and accountability in scientific and social science research. In an effort to gain more credibility in a “post-truth” era, researchers are being more open, sharing their data with others who want to analyze it for themselves. This “open science” concept is beginning to influence the field of educational research in a number of ways: as one example, some education journals are considering requiring researchers to provide their data sets if they wish to publish with them. Presently, many researchers, editors, and scientific organizations are grappling with issues around what open science policies and practices might mean for the future of research. In this session, a panel of education scholars representing various paradigms and methodological approaches will discuss the promises and perils of open science in education research: In a post-truth era, is open science the answer to countering misinformation and accusations of bias, or conversely, can it be used to facilitate the spread of "fake news"? What are the unintended consequences of open science for research fields as a whole and for individual researchers? How do more qualitative methodological approaches interact with or practice an open-science approach, and what can the field of education research as a whole learn from different approaches to research transparency?
Michelle Fine, City College of New York - CUNY
Vivian L. Gadsden, University of Pennsylvania
Amanda L. Datnow, University of California - San Diego
Michelle G. Knight-Manuel, Teachers College, Columbia University
Joseph R. Cimpian, New York University
Colin Elman, Qualitative Data Repository & Maxwell School of Citizenship and Public Affairs, Syracuse University
Diana Kapiszewski, Qualitative Data Repository and Georgetown University