DriveGroups: Using Group Perspective for Usable Data Sharing in Research Collaborations

Sharing data with collaborators is a complicated task that is nonetheless fundamental to academic research. We present the results of two studies investigating data sharing within academic scientific collaborations, as well as a system called DriveGroups designed to facilitate data sharing. First, we observed and interviewed 38 academic researchers engaged in collaborative research about their data sharing practices. We found that these researchers struggle to manage access to data, especially when different types of collaborators (e.g., students, co-principal investigators) require different access settings. In response, we built DriveGroups, a Google add-on designed to alleviate participant challenges with access control, and compared its usability to unmodified Google Drive. DriveGroups allows users to manage file access from two separate perspectives: 1) the traditional file perspective and 2) a role-based group perspective, which simplifies the data sharing process. DriveGroups matched or outperformed unmodified Google Drive in terms of usability, access control, and transparency, and will help scientists advance high-impact academic research.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-01-10
DOI
https://doi.org/10.1145/3701192
Citations
1
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
3.25

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article

DriveGroups: Using Group Perspective for Usable Data Sharing in Research Collaborations

Nazaret Cuadros, Sarah Morrison-Smith, Yifan Wu, James Gunder Frazier et al.
1 citations
Proceedings of the ACM on Human-Computer Interaction
Research Data Management Practices
3.25
article

DriveGroups: Using Group Perspective for Usable Data Sharing in Research Collaborations

Nazaret Cuadros, Sarah Morrison-Smith, Yifan Wu, James Gunder Frazier, E. A. Weinstein, Iris Izydorczak, Dipashreya A. Sur
article en
1 citations

Abstract

Sharing data with collaborators is a complicated task that is nonetheless fundamental to academic research. We present the results of two studies investigating data sharing within academic scientific collaborations, as well as a system called DriveGroups designed to facilitate data sharing. First, we observed and interviewed 38 academic researchers engaged in collaborative research about their data sharing practices. We found that these researchers struggle to manage access to data, especially when different types of collaborators (e.g., students, co-principal investigators) require different access settings. In response, we built DriveGroups, a Google add-on designed to alleviate participant challenges with access control, and compared its usability to unmodified Google Drive. DriveGroups allows users to manage file access from two separate perspectives: 1) the traditional file perspective and 2) a role-based group perspective, which simplifies the data sharing process. DriveGroups matched or outperformed unmodified Google Drive in terms of usability, access control, and transparency, and will help scientists advance high-impact academic research.

Proceedings of the ACM on Human-Computer InteractionVol. 9(1)
Hamilton College (US), Stanford University (US)
National Science Foundation
Openalex Percentile: Top 12%
Research Data Management Practices
3.25
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DriveGroups: Using Group Perspective for Usable Data Sharing in Research Collaborations — Nazaret Cuadros, Sarah Morrison-Smith, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS