JASIST’s top reviewers for 2024, in alphabetical order by last name:

Amelia Acker, UT Austin, US
Juan Pablo Bascur, Leiden University, NL
Marc Bertin Claude Bernard, Lyon University, FR
Leanne Bowler, Pratt University, US
Sarah Bratt, University of Arizona, US
Peter Darch, University of Illinois at Urbana-Champaign, US
Samuel Dodson, University at Buffalo, US
Ina Fourie, University of Pretoria, ZA
Hengyi Fu, University of Alabama, US
Russell Funk, University of Minnesota, US
Sarah Gonzalez, University of Tennessee Knoxville, US
Kathleen Gregory, Leiden University, NL
Devon Greyson, University of British Columbia, CA
Tuomas Harviainen, Tampere University, FI
Guoxiu He, East China Normal University, CN
Libby Hemphill, University of Michigan, US
Noora Hirvonen, University of Oulu, FI
Isto Huvila, Uppsala University, SE
Romy Jia, University of Adelaide, AU
Zhuoren Jiang, Zhejiang University, CN
Laura Koesten, University of Vienna, AT
Kai Li, University of Tennessee Knoxville, US
Yuan Li, University of Alabama, US
Meijun Liu, Fudan University, CN
Jin Mao, Wuhan University, CN
Dana McKay, RMIT, AU
Pamela McKenzie, University of Western Ontario, CA
Besiki Stvilia, Florida State University, US
Mike Thelwall, Sheffield University, GB
Chengzhi Zhang, Nanjing University, CN

JASIST’s top reviewers for 2023, in alphabetical order by last name:

Amelia Acker, University of Texas, US
Obianuju Aliche, Florida State University, US
Lilach Alon, Tel-Hai Academy College, IL
Juan Pablo Bascur, Leiden University, NL
Marc Bertin Claude Bernard, Lyon University, FR
Leanne Bowler, Pratt University, US
Yi Bu, Peking University, CN
Ina Fourie, University of Pretoria, ZA
Russell Funk, University of Minnesota, US
Sarah Gonzalez, University of Tennessee Knoxville, US
Kathleen Gregory, Leiden University, NL
Tuomas Harviainen, Tampere University, FI
Libby Hemphill, University of Michigan, US
Isto Huvila, Uppsala University, SE
Laura Koesten, University of Vienna, AT
Maja Krtalić, Victoria University of Wellington, NZ
Kai Li, University of Tennessee Knoxville, US
Yuan Li, University of Alabama, US
Ying-Hsang Liu, Uppsala University, SE
Brady Lund, University of North Texas, US
Jin Mao, Wuhan University, CN
Dana McKay, RMIT, AU
Pamela Mckenzie, University of Western Ontario, CA
Ola Pilerot, University of Borås, SE
Nicolas Robinson-Garcia, University of Granada, ES
Besiki Stvilia, Florida State University, US
Mike Thelwall, Sheffield University, GB
Marcia Zeng, Kent State University, US
Chengzhi Zhang, Nanjing University, CN
Yuxiang Zhao, Nanjing University, CN

The second update focuses attention to changes in the submitting author’s experience with the Journal. In the coming months, the Journal will begin using Wiley’s proprietary manuscript submission system called “Research Exchange.” The goal is to improve the submitter’s experience while also doing more to assess the fit of the manuscript to the Journal. Wiley is betting on this platform as a differentiator in publishing. They are relying on some interesting uses of AI/ML. We will use the transition to update the questions we ask reviewers to better align what we ask them relative to the criteria being used to assess the manuscripts.

The third update focuses attention on changes in the Journal’s data sharing expectations. After much discussion, the Editorial and Advisory Boards have come to consensus that the Journal should have a clear data sharing policy. In doing this, the Journal is also aligning with the data sharing policy guidance provided by Wiley. The expectation to share data allows for 10 options regarding data availability. These should accommodate the realities of the data and situations of use.The Journal’s data sharing policy is presented here and can be found in the author guidance on the Journal’s web presence:

Data Sharing and Data Availability

The Journal expects data sharing. Review Wiley’s Data Sharing policy where you will be able to see and select the data availability statement that is right for your submission. All submissions to the Journal must include one of the Data Availability Statements (DAS) which describes the data’s availability for others.

Authors are expected to maintain a version of the data set or software code used to support any published work in case there are subsequent concerns raised regarding analysis or data. Please follow Wiley’s Data Citation policy.

The fourth update concerns the Journal’s stance regarding the many uses of generatie artificial intelligence (AI) systems. This guidance is likely to evolve, but principles of acknowledgement, care, human control, and editorial discretion will frame the Journal’s thinking. The current guidance is available in the author guidance section of the Journal’s web presence and is repeated here:

Uses and Roles of Generative AI

The Journal is encouraged by the possibilities of machine learning and uses of generative artificial-intelligence (AI) systems. This noted, authors must declare all uses of generative AI in the JASIST cover letter, the methods section; and, in other locations in the submitted manuscript as appropriate. Authors are responsible for the accuracy of their submissions, including the correct and proper uses of citations.

Generative AI cannot be used to modify or solely analyze data. If Generative AI is used to create data, this must be acknowledged and justified. Generative AI systems cannot be co-authors. Generative AI systems cannot serve as reviewers. Given the speed of change with these technologies, the Editor-in-Chief has discretion as to understanding and assessing author’s uses of Generative AI in support of their submissions. Please also see Wiley guidance on publishing ethics.

Thank you for reading this note, and please consider submitting your work to JASIST!

Steve Sawyer
Editor-in-Chief, JASIST
New email: [email protected]
Professor, Syracuse University’s iSchool