Honestly, I haven’t made much progress this week. With so many college assignment deadlines looming, it’s been a bit hectic! But hey, my commitment is to keep making progress every week, no matter what.
So, what’s on the agenda for the blog this week? No, I’m not talking about Liam Payne (again), but I have two topics that I hope won’t bore you:
1. Data Governance in Central Banks
To kick off my research, I need to dive into best practices from central banks around the world, especially when it comes to Data Governance. I found some interesting references [link] that explain how strategic data governance involves things like Data Catalogues, Data Warehouses, Data Virtualization, Data Marts, Data Lakes, and Data Lakehouses.
After reading up on this, I started exploring what my organization is doing in terms of data governance. I reached out to some senior colleagues and learned that we have a data factory (focused on content and use case/analytic apps) and data solution analytics, which includes a data lake, data virtualization, data catalog, data preparation, analytics tools, and visualization portals. From what I gathered, my organization is doing pretty well in its data governance efforts since we cover all the essential aspects. This might mean that my research topic should shift focus away from data governance and lean more into other areas of data management.
2. Research Method
During our last meeting, our lovely Prof. Cleire encouraged us to think about the research methods we might use. Honestly, I only know about qualitative and quantitative methods, but that doesn’t really cover it! ChatGPT has become my go-to buddy for this, and today we had a friendly debate about the best research method for my dissertation. It’s still early to make a final decision, but it never hurts to start brainstorming, right?
After our 15-minute discussion, I found two research approaches that caught my interest:
- Mixed Methods: This could allow me to combine both quantitative and qualitative research. For the quantitative part, I might benchmark against several related organizations. The qualitative side is where it gets tricky; I’d love to conduct in-depth interviews with professionals in the field of data management. The challenge? I’m not super active on LinkedIn, so my professional network is still pretty small. But I’m determined to make it happen—hopefully, some of the awesome professors at my campus can help me out!
- Case Study: I’m a bit unsure about this one because it feels somewhat similar to quantitative research. I would select several related organizations and conduct observations within them. Don’t worry, once I nail down my research topic, I’ll dive deeper into this method so it’s clearer.
So, what’s next for me? Definitely not sleeping—how dare you suggest that! It’s time to start thinking seriously because data management is a vast topic. I need to focus on specific aspects to explore, whether it’s about data storage, the use of digital signatures, data access, or something else entirely.
That’s it for now, folks! Let’s catch up next week, okay?
Meera
Qualitative research can be a lot of fun! I know you might think you have less access to begin with. But as you start doing your research – you will find ways to reach out to people. And sometimes when they don’t happen you start creatively thinking about how to address this!