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Imagine a world where all the raw data sits in a public repository next to a script to process the data which was reviewed as part of the publication process, w
by CobrastanJorji 3y ago
Imagine a world where all the raw data sits in a public repository next to a script to process the data which was reviewed as part of the publication process, which would accompany the paper and could be quickly and easily replicated with new data. Anyone could produce the graphs shown in the paper simply by downloading both and running them together. What a wonderful thing that would be. And you could imagine the government funding the storing and serving of all the data. What a wonderful daydream of an idea.
- jxramos 3y agoseems attainable, doesn't sound far fetched technically. Maybe get a few universities to start the trend.
- venv 3y agoEven this would require somehow verifying the raw data. It's plausible a bad actor could "reverse engineer" their data from a pre-determined conclusion. But yes, overall more openness is good. Still, the cost losing trust in society is very high (as you need to verify everything).
- ChainOfFools 3y ago> It's plausible a bad actor could "reverse engineer" their data from a pre-determined conclusion. I've already heard of someone planning a product ( initially targeted at lazy^H^H^H^Hbusy high schoolers and undergrads) that will use AI to reverse discover citations that fit a predetermined narrative in a research paper. Write whatever the hell you want, and the AI will do its best to backsolve a pile of citations that support your unsourced claims and arguments. The founder, and I use that term very generously, expects the academic community to net support this because it will boost citation counts for the vast majority of low citation, low visibility works.
- reprociboi 3y agoSome journals in fact implement this idea (e.g. having the raw data underlying each figure one click away). That is however not the crux of the reproducibility crisis; it would be great if it was just "I can't make an exact copy of Supplementary Figure 5D", but rather "I can't confirm that protein X causes dementia using orthogonal techniques". There is no easy code fix for that problem.
- simonw 3y agoFunding the storing and serving of all of that data doesn't sound like a difficult problem to me. That has gotten SO cheap over the past couple of decades. There are plenty of well funded institutions that can support that kind of resource.
- jrumbut 3y agoYou'd be surprised. One headache there is what did you tell study participants you would do with the data? Did you say you'd keep it forever? Did you say 5 years? Who's in charge of making sure that this centralized repository isn't inappropriately holding and distributing data? Funding organizations also have different requirements. Then a script is only useful if paired with a set of libraries of a particular version, a specific compiler/interpreter, an OS, also there may be specialized hardware involved. Some of the languages used in science like SAS, Stata, SPSS, and Matlab, etc aren't free and open source so you can't always just bundle it. And even data storage isn't trivial. For a recent small conference abstract I processed ~150GB of data. Hundreds (thousands? Tens of thousands?) of other papers have looked at that same data. You would really want some way to deduplicate that storage, but that introduces some additional complexity. I do like this vision but I think it would be a major undertaking that would require a lot of well funded institutions coming together rather than any one in particular doing it on their own.
- Fomite 3y agoThis. "Your data is open and available in perpetuity for whatever use" is in deep conflict with how we think about human subjects data, often for very good reason.
- jrumbut 3y agoOne thing that was really jarring for me moving from the startup/consulting/advertising space to the research space was that human subjects data really gets deleted. It's not just the deleted_at column being set, there's no backup, it's really gone. Every copy, forever. I appreciate the ethics of it, and part of my reason for working in this area is because of these ethics, but even 5 years in there is so much reluctance to press that delete button.
- noobermin 3y agoI hate to be sincere, but the reality is the data is our product. If we open source our data too much, we won't have anything left to publish as others who would have to expend nowhere near the resources we must do to produce it can scrape it and publish it. (that literally is how "AI" of the current hype bubble works today, lol, why would I want that online?) The incentives are definitely bad, and that's where the actual fix should be.
- diognesofsinope 3y agoIf any level of government funds your institution you should have to releases the data. The code I write is not my code, it's the banks.
- caddemon 3y agoIf that happened it would indirectly change the incentives anyway, because everyone would start being required to release data, so bad practices that are currently incentivized would become impossible. However I think it would be better to directly incentivize data release rather than require it, at least in biomedical sciences. Because of patient privacy issues there is no way raw data release can be required across the board. And I certainly do not trust the NIH to come up with a coherent set of rules for when it is versus isn't allowed, which would mean loopholes and more corruption.
- ChainOfFools 3y agoMost projects are funded by a patchwork of different sources, not all of which would agree to the same terms of release of the information, but all of which are required sufficiently fund its creation. Not to mention maintaining ongoing storage and accessibility. single source government grants for scientific research are the exception, not the rule.
- deleted 3y ago[deleted]
- Fomite 3y agoWhat if I use your medical records, which contain pretty trivial identifying information in them?