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- Title
Big data promises and obstacles: Agricultural data ownership and privacy.
- Authors
Wilgenbusch, James Charles; Pardey, Philip G.; Bergstrom, Aaron
- Abstract
The year 2022 marks the ten‐year anniversary of the White House's Big Data Research and Development Initiative. While this initiative, and the others it spawned, helped to advance the many facets of data intensive research and discovery, obstacles and challenges still exist. If left unaddressed these obstacles will persist and at a minimum limit the potential of what can be achieved by harnessing the many new ways to collect, analyze, and share data and the insights that can be drawn from them. The opportunities and challenges related to Big Data in agriculture touch on all aspects of the general research data lifecycle; from instruments used to gather data, to advanced digital platforms used to store, analyze, and share data, and the innovative insights from using advanced computational methods. The eight papers included in this special issue were chosen in part because they highlight both the challenges and the opportunities that come from all stages of the data lifecycle common across agricultural research and development. These papers grew out of several workshops made possible by the support of the Midwest Regional Big Data Hub, which is sponsored by the National Science Foundation. Core Ideas: New data generators, data platforms, and analytical methods make the promises of Big Data as relevant as ever.Data intensive agricultural Research & Development is raising ownership and privacy concerns, especially by private stakeholders.Sustained agricultural innovation requires a pipeline of new solutions to address data ownership and privacy issues.
- Subjects
NATIONAL Science Foundation (U.S.); UNITED States. Executive Office of the President; BIG data; AGRICULTURAL technology; AGRICULTURAL development; AGRICULTURAL innovations; PRIVACY; DIGITAL technology; AGRICULTURAL research; RESEARCH &; development
- Publication
Agronomy Journal, 2022, Vol 114, Issue 5, p2619
- ISSN
0002-1962
- Publication type
Article
- DOI
10.1002/agj2.21182