Reflections

Reflecting on the recent lectures in my graduate course on health data and technology research, I've emphasized the value of process-oriented research frameworks as tools that guide researchers through the long-term development of their research programs. These frameworks serve as a roadmap, ensuring that each step, each research question, and each data generation effort is justified and connected to the broader scope of inquiry. I've stressed that this kind of thinking is critical not only for the immediate research at hand but for anticipating the next questions and aligning methodologies with future needs. 

However, as I review students' presentations and assignments, I realize that I need to make an additional point clearer: these frameworks are not just about organizing individual projects. They play an essential role in contextualizing how research teams function as ecosystems, particularly in large-scale, collaborative projects. Often, early-career researchers or students tend to focus solely on their specific piece of the puzzle, seeing their work as self-contained. While this approach might feel sufficient at their level, it's critical for them to understand that projects, especially when reviewed by Research Ethics Boards (REBs) or granting agencies, need to be framed within the larger context.

Process-oriented frameworks provide this crucial context by mapping how a smaller project fits within a broader, multi-jurisdictional research program. When researchers articulate this bigger picture clearly, it prevents the common "what about..." questions from reviewers, such as concerns about evaluation or implementation. By presenting the research as part of a well-planned and structured ecosystem, it enhances the credibility and feasibility of the project. The research becomes less risky, as it’s shown to be part of a broader effort with oversight and integration across various phases. This, in turn, can improve the project's chances of securing funding and regulatory approval.

This reflection has made me realize that in next year’s iteration of this course, I need to make a more explicit connection between process-oriented frameworks and the broader context of research team dynamics. I need to show how articulating this bigger picture not only strengthens individual projects but also contributes to the success of large-scale, collaborative research efforts.