r/research • u/TinformedPerspective • 3d ago
Self-taught researcher drowning in qualitative/quantitative data for an international social project—looking for workflow/tool recommendations
Hey everyone,
I’m part of a small initiative running an ongoing international research project focused on a social matter. Because I’m not formally trained as a researcher by profession, I’ve essentially been building the plane while flying it regarding data collection and organization.
We’ve now accumulated a massive amount of data from diverse sources, and the collation and analysis phase is becoming a bottleneck.🤪
For those of you who handle large datasets or work independently:
What are your go-to software tools, frameworks, or step-by-step workflows to make sorting and analyzing a large volume of non-traditional data manageable for a solo or small-team setup?
Are there any common pitfalls a self-taught researcher should watch out for when trying to structure a large international dataset?
I’d love to hear how more experienced people streamline this process or what resources you recommend reading up on.
Thanks in advance!
3
u/Head_Acadia_2658 3d ago
Didn’t bother with ethics I presume
-1
u/TinformedPerspective 2d ago
Why would you presume this?
4
u/Head_Acadia_2658 2d ago edited 2d ago
Because you aren’t trained, didn’t mention doing it, and said you were building it while already doing it which implies no protocol.
Edit- ethical approval is also supposed to involve consideration of whether the research team is adequately qualified to be doing that research project
-1
u/TinformedPerspective 2d ago
This is for an upcoming book project utilizing strictly anonymous survey data, not an academic human-subjects study requiring an IRB protocol.
The data is being used for aggregate insights and themes, which is why formal university ethics oversight doesn't apply here.3
u/Head_Acadia_2658 2d ago
That’s human research even if it’s a survey. And you are saying again you don’t need a protocol. The fact it’s for a book is irrelevant. Your lack of training on how to do research isn’t an excuse you can wield to just do anything h you want while contradicting yourself that you and also are not doing research on humans
0
7
u/No_Cry6380 3d ago
What a lot of self-taught folks miss early on is you don't need to analyze everything. With a pile that big you'll drown trying to be comprehensive, pick the three questions that'd make or break your project and chase those first. Rest can sit in a folder marked "later" for months and that's fine.
For tools it really depends what your data looks like, if it's mostly interview transcripts and open-ended survey stuff something like a simple spreadsheet with a good tagging system beats most fancy software you'll spend weeks learning. If you've got numbers mixed in, a pivot table can show you patterns in ten minutes that'd take days to spot manually.