Depositing Data: A Usability Study of the Texas Data Repository

Objective: The purpose of this study is to examine the usability Texas Data Repository (TDR) for data depositors who are unfamiliar with its interface and use results improve user experience. Methods: This mixed-method research collected qualitative quantitative through a pre-survey, task-oriented test think-aloud protocol, an exit questionnaire. Analysis (i.e., descriptive statistics) (e.g., content analysis thinking-aloud protocols) were employed TDR’s first-time at A&M University. Results: While revealed that users generally satisfied their experience, suggest majority participants had difficulty understanding difference between dataverse collection dataset, often found adding or editing metadata overwhelming. platform’s tiered model description core function, but many did not have accurate mental platform, which left them scrolling up down page jumping back forth different tabs pages perform single task. Based on results, authors made some recommendations. Conclusions: paper relies heavily context Harvard Dataverse repository posit any self-deposit model, regardless could benefit from these We noticed completing various fields in TDR required pivot mindset creator curator. Moreover, methods used investigate can be develop additional studies variety service contexts.