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2. Build It, But Will They Come? A Geoscience Cyberinfrastructure Baseline Analysis

Author

Joel Cutcher-Gershenfeld, Karen S Baker, Nicholas Berente, Dorothy R Carter, Leslie A DeChurch, Courtney C Flint, Gabriel Gershenfeld, Michael Haberman, John Leslie King, Christine Kirkpatrick, Eric Knight, Barbara Lawrence, Spenser Lewis, W Christopher Lenhardt, Pablo Lopez, Matthew S Mayernik, Charles McElroy, Barbara Mittleman, Victor Nichol, Mark Nolan, Namchul Shin, Cheryl A Thompson, Susan Winter, and Ilya Zaslavsky

Subjects
Curation, Cyberinfrastructure, EarthCube Fields and disciplines, Geoscience, Infrastructure, Network effects, Open data, Reuse, Science (General), Q1-390
Abstract

Understanding the earth as a system requires integrating many forms of data from multiple fields. Builders and funders of the cyberinfrastructure designed to enable open data sharing in the geosciences risk a key failure mode: What if geoscientists do not use the cyberinfrastructure to share, discover and reuse data? In this study, we report a baseline assessment of engagement with the NSF EarthCube initiative, an open cyberinfrastructure effort for the geosciences. We find scientists perceive the need for cross-disciplinary engagement and engage where there is organizational or institutional support. However, we also find a possibly imbalanced involvement between cyber and geoscience communities at the outset, with the former showing more interest than the latter. This analysis highlights the importance of examining fields and disciplines as stakeholders to investments in the cyberinfrastructure supporting science.

Published
2016
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9. Designing the Metaverse.

Author

Stefan Seidel, Nicholas Berente, Jeffrey Nickerson, and Gregory Yepes

Published
2022

31. On digital theorizing, clickbait research, and the cumulative tradition

Author

Abayomi Baiyere, Nicholas Berente, and Michel Avital

Subjects
Theory building, Digital theorizing, Debate, Strategy and Management, Clickbait research, Cumulative tradition, Library and Information Sciences, Problematization, Information Systems
Abstract

The pursuit of novel and indigenous digital theories is a thought-provoking call by Grover and Lyytinen. Such a piece is direly needed, and we hope it will spark a reinvigoration of the field. However, despite its many merits and our alignment with its message, we have two comments or caveats for readers of their piece. These are—a) a need to re-emphasize the value of attending to the cumulative tradition in our pursuit of digital theorizing, and relatedly b) an unreflective reading of the paper may risk mobilizing IS scholarship towards clickbait research. We further highlight three anchors that future scholarship can consider in attending to these issues a) problematization anchor, b) implications anchor, and c) boundary-spanning anchor. With these points, we add more volume to amplify the message of G&L and offer suggestions for pursuing innovative digital theories that go beyond ephemeral theorizing.

Published
2023

45. Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications

Author

Corinna Rutschi, Nicholas Berente, and Frederick Nwanganga

Subjects
Computer Networks and Communications, Software, Information Systems, Theoretical Computer Science
Abstract

Data sensitivity and domain specificity challenges arise in reuse of machine learning applications. We identify four types of machine learning applications based on different reuse strategies: generic, distinctive, selective, and exclusive. We conclude with lessons for developing and deploying machine learning applications.

Published
2023

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