Submitted 2 months ago by nodimetotie@lemmy.world to science_memes@mander.xyz
https://lemmy.world/pictrs/image/354a267e-fba0-48db-8460-3217bdb80db4.jpeg
It feels ridiculous to see a 5-page paper with a 150-page appendix. Makes you question what is the paper.
I dunno, I kinda like the “breadth first” approach: abstract should basically tell you most of what you need, at a 30,000’ level, but maybe not convice you. Main text should convince you. Appendix should tell you how to perform the experiment yourself.
I’m with you on that. My comment was more like sometimes the appendices seem to get out of hand. They probably contain entire papers there.
Oh look, it’s my thesis. The appendix is mostly fucking tables.
Smarter you in a few years ;)
You know… a while back… I listened to a shortwave episode that, they may have found an actual use for the appendix. Apparently, they think it might serve as a sort of life raft for the good bacteria while the rest of the immune system does it’s thing.
Yeah. Don’t ask me about your version of an appendix. I’m pretty sure somebody was having a laugh. (Like Lawlyers handing over a 500-page legal “brief”. who says they don’t have a sense of humor?)
Eh, “data available upon request” - fuck you, just add a table in the extra materials part. Also applies to any code written for a project.
I am doing a data analysis that has been described in another paper. Somewhat complex equations, but I managed to put them into code. Except when I use my code to reproduce figures from the paper two of five equations are off by a factor of kT/E_phonon (empirically determined by me, it’s just a value that makes my plots correspond with theirs). I have absolutely no effing clue where that discrepancy is coming from. They clearly wrote code for their paper but it’s not online and while I did have a pleasant correspondence with the author, they (understandably) do not have time to go digging for 10 year old code.
also David Foster Wallace
JoBo@feddit.uk 2 months ago
As it should be. There’s no point doing research if you don’t publish all the relevant information. Now that journals are electronic, you can and there’s no excuse not to.
If you don’t know why the appendix exists, try reading it.
nodimetotie@lemmy.world 2 months ago
No need to rush to conclusions, I do read appendices when needed. My point is not that authors should cut the appendices or compromise on any other good open science practices. The point is that disproportionately large appendices make one wonder if some of that stuff actually belongs in the main text. If it is just a robustness check that gives a similar result, fine, make a footnote in the main text and put the analysis in the appendix. But what if it is actually relevant information that changes the perception of the main text?
JoBo@feddit.uk 2 months ago
That’s why you need the appendices, so that you can check the details behind what is in the paper.
Journals have word limits, due to the restrictions of print, and because a 200 page paper is too much for most readers. But some of them will need some or all of those 200 pages (which is usually a shed load of tables and figures, not much text apart from protocols etc).
The quality of the research, and the way it was written up, cannot be assessed by those readers unless all the information is published. And the research cannot be implemented in practice unless it is described in full. There are thousands of papers out there that test a new treatment but don’t give enough detail about the treatment for anyone else to deliver it. Or develop a new measurement scale but don’t publish the scale. Or use a psychometric instrument but don’t publish the instrument. This research is largely useless (especially if the details were never archived properly and there’s no one still about who knows how to fill the gaps).
We don’t (or should not) publish papers for CV points. We publish them so that other researchers know what research has been done and how to build on it. These days we don’t just publish all the summary tables and all the analyses, we ideally make the data available too. Not because we expect every reader to want to reanalyse it but because we know some of them will need to.