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For some time, "big data" has loomed large as a source of challenges and opportunities for science, but as yet, guidance on how to manage the data deluge has been wanting. Joining us on this episode of BioScience Talks, Kendra Spence Cheruvelil and Patricia A. Soranno, both with Michigan State University, describe a synergistic approach to data-intensive science that hinges on open and collaborative research efforts. By harnessing the strengths of interdisciplinary collaboration and open science, they say, researchers will be better able to use big data to solve global environmental problems. Read the article. Subscribe on iTunes. Subscribe on Stitcher. Catch up with us on Twitter. AIBS's Team Science Event
For some time, "big data" has loomed large as a source of challenges and opportunities for science, but as yet, guidance on how to manage the data deluge has been wanting. Joining us on this episode of BioScience Talks, Kendra Spence Cheruvelil and Patricia A. Soranno, both with Michigan State University, describe a synergistic approach to data-intensive science that hinges on open and collaborative research efforts. By harnessing the strengths of interdisciplinary collaboration and open science, they say, researchers will be better able to use big data to solve global environmental problems.
We hope you enjoy these in-depth discussions of recently published BioScience articles and other science stories. Each episode of our interview series delves into the research behind a highlighted story, giving listeners unique insight into scientists' work.