With possibilities that may seem nearly unlimited, it’s essential for industry to critically evaluate its needs and high impact areas and define specific questions and issues, rather than simply collecting increasingly large datasets and hoping that “something useful will come out of it.”
Dr. Wiedmann is the Gellert family professor of food safety in the Department of Food Science at Cornell University and a member of the Cornell Institute for Food Systems. He also serves as director of graduate studies for the Field of Food Science and Technology at Cornell. Reach him at firstname.lastname@example.org.
AUTHOR ACKNOWLEDGEMENTS: I acknowledge helpful and stimulating discussion with many colleagues on the topic of big data in food safety, including with Frank Yiannas, Pajau Vangay, Laura Strawn, Jamie Kaufman, Sean Leighton, Barbara Kowalcyk, Julie Stafford, Courtney Parker, and many others. This article is based on a presentation at the 2014 Cornell Food Systems Global Summit.