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Article Type

Full-Length Paper

Publication Date

2022-05-09

DOI

10.7191/jeslib.2022.1233

Abstract

Objective: The purpose of this study is to examine the usability of the Texas Data Repository (TDR) for the data depositors who are unfamiliar with its interface and use the results to improve user experience.

Methods: This mixed-method research study collected qualitative and quantitative data through a pre-survey, a task-oriented usability test with a think-aloud protocol, and an exit questionnaire. Analysis of the quantitative (i.e., descriptive statistics) and qualitative data (e.g., content analysis of the thinking-aloud protocols) were employed to examine the TDR’s usability for first-time data depositors at Texas A&M University.

Results: While the study revealed that the users were generally satisfied with their experience, the data suggest that a majority of the participants had difficulty understanding the difference between a dataverse collection and dataset, and often found adding or editing metadata overwhelming. The platform’s tiered model for metadata description is core to its function, but many participants did not have an accurate mental model of the platform, which left them scrolling up and down the page or jumping back and forth between different tabs and pages to perform a single task. Based on the results, the authors made some recommendations.

Conclusions: While this paper relies heavily on the context of the Harvard Dataverse repository platform, the authors posit that any self-deposit model, regardless of platform, could benefit from these recommendations. We noticed that completing various metadata fields in the TDR required participants to pivot their mindset from a data creator to that of a data curator. Moreover, the methods used to investigate the usability of the repository can be used to develop additional studies in a variety of repository and service model contexts.

Keywords

usability, data repositories, data sharing, user experience, research data

Corresponding Author

JW & SB contributed equally to this work. Corresponding author: Zhihong Xu, Texas A&M University, 5000 TAMU, College Station, TX 77843, USA; xuzhihong@tamu.edu

Rights and Permissions

Copyright © 2022 Xu et al. This is an open access article licensed under the terms of the Creative Commons Attribution License.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Appendix1_1233_Xu.pdf (656 kB)
Appendix 1: Pre-survey

Appendix2_1233_Xu.pdf (716 kB)
Appendix 2: The exit system usability scale questionnaire

Appendix3_1233_Xu.pdf (697 kB)
Appendix 3: 5 task scenario for data depositors

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