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The journal Immunity says on this webpage

"As a matter of publishing ethics, we cannot consider any paper that contains data that have been published or submitted for publication elsewhere."

Why not? What if the two papers analyze rich sources of data that overlap only partially? What if they have completely different ambitions? Is the only meritorious activity in science the act of gathering data, and to hell with the analysis? And what does this have to do with ethics?

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    It might be related to the idea that published data is the intellectual property of the publisher, such that publishing it elsewhere infringes upon the original publisher's property rights. Presumably if Immunity wants to be able to sue others for publishing data that first appeared in Immunity, they'd have to ensure that they similarly don't reproduce others' content. (Not an answer since this is speculation.)
    – Nat
    Commented Nov 14, 2017 at 20:43
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    Thank you for your perspective. I suppose that concern is vaguely ethical in nature (ha ha, nature), although it seems ethically problematic to claim ownership of data generated at publicly funded institutions, by state employees, using taxpayer money. Commented Nov 14, 2017 at 21:00
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    So you're suggesting this grants them ... immunity ... from copyright accusations? Commented Nov 14, 2017 at 21:01
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    It is unethical to use the same control data for two different experiments without disclosing it, because it lowers the statistical power of the experiments. This could be an additional factor. Commented Nov 14, 2017 at 23:22
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    It has nothing to do with "copyright" it's to prevent salami papers, double submissions, and weak stats.
    – Cape Code
    Commented Nov 15, 2017 at 8:00

4 Answers 4

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I think you're reading a little bit more into the policy than is actually there - many papers in this type of journal essentially contains data - gels, lab results, etc. That's what they're talking about. What they're not talking about is the corpus of data generated from a whole study.

Why not?

Because the goal is not to allow researchers to publish repeated analyses of the same dataset.

What if the two papers analyze rich sources of data that overlap only partially?

It's likely not what they're talking about - a rich source of data likely means that the data hasn't been published recently. What they don't want is "The same data as last time, now with a marginally different story".

What if they have completely different ambitions?

I'd be impressed if you managed to get two completely distinct analyses out of the same data - and indeed, the stance of the journal would likely be that they'd be willing to accept a decrease in salami slicing of papers at the cost of the occasional genuinely novel analysis that's built entirely off previously published data.

Is the only meritorious activity in science the act of gathering data, and to hell with the analysis?

That's reading way too far into the policy - the paper should also contain that analysis. What they don't want you doing is writing four papers on the same single assay or whatever.

And what does this have to do with ethics?

The idea that a paper should represent a single, stand-alone contribution to science, and that ever more esoteric spins on the same data is a net negative is an ethics in science stance. One you may disagree with, but it is one.

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    You'd be impressed if someone can get two different analyses out of the same data set??? Why?? That is commonplace. Even if there was no disagreement about methods of analysis, there might be entirely different research questions. Commented Nov 15, 2017 at 5:25
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    So what? How does coming from a single experiment mean that you cannot get two or more different analyses? Commented Nov 15, 2017 at 5:29
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    @MichaelHardy It's my experience that that isn't how the immunology-related projects I have interacted with have been run. "We ran a particular assay/gel/etc. to answer THING. Here is a picture. Maybe a graph and a t-test." Generally speaking, an additional analyses involves pulling in and/or generating some form of new data, which, in my answer, would I think be allowable under the stated rules.
    – Fomite
    Commented Nov 15, 2017 at 5:32
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    Just to note it, I think that responsible data analysis and avoiding common analysis mistakes is a worthy objective. Just, these polices look designed to ensure exclusivity rather than analytical integrity. For example, if a policy intended to prevent the same data from being considered multiple times (which itself would be based on a fallacious premise, as the literature can't be considered a fair sampling of results to begin with), it seems like it'd be adequate to explicitly declare that the data was published before to avoid confusion, rather than strictly prohibit it.
    – Nat
    Commented Nov 15, 2017 at 5:41
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    @Fomite : But generally speaking, an additional analysis, either addressing a different research question or disagreeing with the original analysis, does NOT necessarily involve generating new data. That's why there are famous data sets about which many papers have been published. Commented Nov 15, 2017 at 5:43
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This is a guess but:

The sentence in question comes at the end of the paragraph entitled 'Related Manuscripts', which says they need to see any similar papers you have. This suggests to me that the primary point is that you can't publish the 'same' paper twice, even if you change the wording.

Another potentially relevant point, which I haven't seen mentioned yet, is that you have to be very careful when reusing a dataset - the more questions you ask about some data, the more likely you are to get a positive answer by chance, so that has to be taken into consideration in the analysis. If you present a single result from the data, it's therefore important to know what other questions have been asked.

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    I like your first guess, but I don't think this policy has anything to to with p-hacking, because if it did, there would be a lot more to say on that topic, and they don't mention it anywhere else. Commented Nov 15, 2017 at 16:11
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    Also, the policy as written covers a lot more than just the same paper twice. It applies to any intersecting data at all. Commented Nov 15, 2017 at 16:41
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I think the keyword here is "contains". The paper should not present any data, that has already been presented elsewhere, because that would be considered double publication of the data.

I'm pretty sure that this is not meant as a restriction on using previously published dataset in your papers. For example, I don't think Immunity would want to restrict papers from using data from the Human Genome Project or public census data.

(Am not sure how this is supposed to work with significant extensions of previous datasets though.)

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You must only write one paper in which you explain completely how you acquired the data and why exactly you did it the way you did.

The full story. A later paper which reveals that there were some additional motives, not to say parameters, turns the original one into a piece of scientific malpractice, eligible for retraction.

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  • is "eligible" the right word?
    – Karl
    Commented Aug 27, 2019 at 21:55
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    Not wrong per se but you could choose another. I might say "subject to retraction" which carries a clear negative connotation; "eligible" is usually used in positive contexts. I disagree with your answer, though; there isn't a problem with a later paper that builds on or corrects a prior one, the problem addressed in the prohibition from the OP is representing work as if it is new when it is actually not new and has been published before. If that isn't clear, it's the later paper that is a problem, not the former.
    – Bryan Krause
    Commented Aug 27, 2019 at 22:30
  • @BryanKrause You can of course build on or correct an earlier paper. You seem to not have grasped the dire scientific problem with hiding relevant measurement parameters however.
    – Karl
    Commented Aug 30, 2019 at 19:54

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