Academic and scientific research moves methodically downstream from lab bench and laptop to data repositories and peer-reviewed journals, then finally to public and professional audiences. This workflow shapes – and is shaped by – policies and mandates of private funders and government agencies.

Making science “open” will see information about discoveries and related data become freely available, under terms that enable re-use, redistribution and reproduction. As Open Science principles increasingly prevail, what are the challenges? How will research be transformed?

How Open Science Is Shaping Research Workflow

Martin Delahunty, managing director of Inspiring STEM, an independent scholarly academic and scientific publishing consultancy, has recently undertaken research that explores academic research workflows in support of open science. Delahunty’s findings identify important pain points and the potential impact of such new initiatives.

“There is a continued refinement in the definition of open science and increased focus on researcher workflows and practical solutions,” Delahunty tells CCC.

“We will continue to see the national and international evolvement of data repositories with improved workflow efficiencies and wider repository integration. This includes exploiting new technologies and to improve discovery and reporting mechanisms,” he says.


Author: Christopher Kenneally

Christopher Kenneally hosts CCC's Velocity of Content podcast series, which debuted in 2006 and is the longest continuously running podcast covering the publishing industry. As CCC's Senior Director, Marketing, he is responsible for organizing and hosting programs that address the business needs of all stakeholders in publishing and research. His reporting has appeared in the New York Times, Boston Globe, Los Angeles Times, The Independent (London), WBUR-FM, NPR, and WGBH-TV.
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