‭Review Published Versions 1 Vol 3 (1) : 88-94 2021
Open Science and the Hype Cycle
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Abstract & Keywords
Abstract: The introduction of a new technology or innovation is often accompanied by “ups and downs” in its fortunes. Gartner Inc. defined a so-called hype cycle to describe a general pattern that many innovations experience: technology trigger, peak of inflated expectations, trough of disillusionment, slope of enlightenment, and plateau of productivity. This article will compare the ongoing introduction of Open Science (OS) with the hype cycle model and speculate on the relevance of that model to OS. Lest the title of this article mislead the reader, be assured that the author believes that OS should happen and that it will happen. However, I also believe that the path to OS will be longer than many of us had hoped. I will give a brief history of the today’s “semi-open” science, define what I mean by OS, define the hype cycle and where OS is now on that cycle, and finally speculate what it will take to traverse the cycle and rise to its plateau of productivity (as described by Gartner).
Keywords: Open Science; Hype cycle; FAIR data; Digital Objects
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Article and author information
Cite As
Strawn, G.: Open Science and the hype cycle. Data Intelligence 3(1), 88-94 (2021). doi: 10.1162/dint_a_00081
George Strawn
George Strawn is currently the director of the Board on Research Data and Information at the National Academies of Sciences, Engineering, and Medicine where he focuses on Open Science and FAIR data. Prior to joining the Academies, Dr. Strawn was the director of the National Coordination Office (NCO) for the Networking and Information Technology Research and Development (NITRD) Program and co-chair of the NITRD interagency committee.
Publication records
Published: May 10, 2021 (Versions1
Data Intelligence