Alina Chan Profile picture
17 Nov, 19 tweets, 5 min read
Pandemic rages. Meanwhile scientists are fighting about what open data sharing means and whether you can publish analysis using someone's data if part of their dataset has not yet been published.
For a layperson, what is the issue here?

Scientists often keep data private so that they can publish in high impact journals and avoid others beating them in the publication race.

If you share data pre-publication, others are likely to swoop in and you lose your advantage.
In the pandemic, we've seen scientists really step up their data sharing generosity. It's the only way global databases @GISAID, public resources @nextstrain @covidcg can provide big picture, powerful analyses of SARS2. So many analyses have been run on unpublished sequences.
One headache is how to incentivize people to share data pre-publication. There are courtesies including discussing your intended analysis with the data providers and coming to an agreement on how to proceed, e.g., let the data providers publish first.

But where is the limit?
If every data provider puts a restriction on the use of their @GISAID sequences until they have personally published each sequence, the entire enterprise will fail. You could wait years for some people to make it past peer review. Your work becomes beholden to their timeline(s).
Can't always add data providers as co-authors because scientists analyzing same data can reach different conclusions. This is especially problematic for scientists w unpopular interpretations & could lead to censorship: You can't use my data because I disagree with your approach.
This challenge is compounded by the fact that these SARS2 data are critical to informing public health decisions and understanding of how the virus is changing. Scientists publish analyses. That's how science works. Not all of us can send our analysis to the government directly.
If scientists can run analysis but only privately convey it to their gov/business contacts, this leads to a whole host of other problems. Scientists have political beliefs and COIs too. Does this mean some political parties/biotechs will have a monopoly over breaking science?
Let's make it specific to the case above. Does it mean that scientists analyzing the full mink SARS2 data can only privately share key findings with their own contacts? That policymaker/scientists need connections to (1) know the analysis was even done, and (2) see the results?
Are we or are we not in the middle of a pandemic where finding out key covid developments, in humans and any other animals, weeks to months late can result in un/misinformed policy-making and cost real human lives?
If scientists are going to start putting usage restrictions on covid data, you have zero ground to criticize govs like China hiding/delaying the release of covid findings (its genome sequence, human-to-human transmission, early data, origins) for months to maintain dominance.
This is not right. Not in the middle of a pandemic. You can't share your data and restrict other scientists from analyzing and preprinting/putting it on a browser until you get through peer review.
You're saying that if a scientist wants to analyze your data, they have to seek your approval or NOT use the data - in the middle of a pandemic!

What kind of precedent are you setting for places where rare SARS2 genomes are detected and sequenced?
Someone asked if I'm advocating for data parasites (scientists who publish papers using other scientists' data). If I had a SARS2 sequence(s) that no one else had, I would share it fresh off the sequencer - raw data + metadata.
Many scientists spend so much time advising policymakers and the public how to drastically change their lives (their jobs, their everything) in a pandemic.

But YOU won't change your data sharing and scientific publishing practices in a pandemic?
Is the Dutch government not going to fund any more mink SARS2 sequencing because other scientists published using your data?

Am I getting this right?
Is @ScienceMagazine @nature @CellCellPress not going to publish your paper because someone else did a similar (but not identical, possibly even contrary) analysis using your unpublished data? In the middle of a pandemic? Despite you being the original data contributor?
You're telling me that millions of people have to live in penury, struggling to pay for their healthcare, struggling with depression, not seeing their family members as they die from covid - and YOU won't let other scientists analyze covid data until you get your paper.
If you're so fantastic about equity, how come none of the farmers are in your authorship? They're the ones whose livelihoods are gone. They're the ones who provided you with these minks. They're just in your acknowledgments for "for sample provision". science.sciencemag.org/content/early/…

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More from @Ayjchan

18 Nov
Yea, I don’t see how @TheLancet or @EcoHealthNYC can possibly be regarded as appropriate parties in a credible independent investigation of #originsofsarscov2
Based on the emails unearthed by @USRightToKnow EcoHealth was already circulating this letter by Feb 6. The virus had only been announced on Jan 20 to transmit from human to human; its genome released on Jan 12 was barely characterized at least publicly.
thelancet.com/journals/lance…
If you've been going around rallying other scientists to condemn lab origins as a conspiracy theory since the beginning of the pandemic, how can you possibly “systematically examine every theory” “not be bound by preconceived ideas” “with an open mind” telegraph.co.uk/global-health/…
Read 31 tweets
18 Nov
On the covid data sharing debate, I believe that the context of a raging pandemic killing millions of people should be considered 1st. If a scientist finds that there is rapid virus adaptation in minks, must they seek permission or wait for the data providers to publish first?
I know that some scientists on both sides of this issue think that the same data sharing protocol applies to pandemic data as it does to non-pandemic data. But I don't think so.

Pandemic data should be shared in real time, analyzed in real time, publish/preprinted in real time.
In non-pandemic times, it makes sense to let the data provider take precedence; no urgency.

But in pandemic times, if you can do the analysis differently, faster, or better, shouldn't it be released ASAP? Especially if data is already shared only months after sample collection?
Read 5 tweets
17 Nov
“if a similar phenomenon of host adaptation had occurred upon its jump into humans, those human-specific mutations would likely have reached fixation.. before the first SARS-CoV-2 genomes were generated.” 🙏🏻 ⁦@LucyvanDorp⁩ ⁦@BallouxFrancoisbiorxiv.org/content/10.110…
"The secondary host jump from humans into minks offers a glimpse into the window of early viral host adaptation of SARS-CoV-2 to a new host that has likely been missed at the start of the COVID-19 pandemic... and point to rapid adaptation of SARS-CoV-2 to a new host." 💯🔥
"pandemic is understood to have been caused by a unique host jump into humans from a single yet-undescribed zoonotic source in the latter half of 2019"

How does this fit with: "human-specific mutations would likely have reached fixation.. before the first SARS-CoV-2 genomes" 🤔
Read 4 tweets
16 Nov
It looks like the universe will not let me have a day off.

@Nature just released an Addendum on the WIV's first paper about COVID, explaining what's up with RaTG13, the bat coronavirus most closely related to SARS-CoV-2. nature.com/articles/s4158…
tldr from the Mojiang mine, 293 CoVs found, 9 were SARS CoVs, 1 was RaTG13 first published in 2016 (not cited in their original 2020 @Nature paper). The other 8 SARS CoVs? We have no insight to their sequences!
Why are we hearing about this in mid-Nov 2020 when their paper was released in January, saying that they first found a match in the RdRp between RaTG13 and SARS-CoV-2 and then full genome sequenced RaTG13 to find a 96.2% genome identity match?
Read 20 tweets
14 Nov
@washingtonpost Opinion article by their editorial board.
"there are troubling questions in China that must be examined, including whether the coronavirus was inadvertently spread in an accident or spill from the Wuhan Institute of Virology" washingtonpost.com/opinions/globa…
@washingtonpost @PostOpinions I wanted to point out that the @TheLancet commission to identify COVID origins is chaired by the president of @EcoHealthNYC who has a massive conflict of interest wrt the WIV.
I have concerns regarding how rigorous and productive @TheLancet 's investigation of lab origins will be. Considering that Dr. Daszak did not even know until recently that the closest full virus to SARS-CoV-2 had been actively sequenced in the WIV between 2017-2018.
Read 8 tweets
14 Nov
Will do a thread today explaining the different types of covid tests, how they work, and what this means for false positives/negatives. fortune.com/2020/11/13/elo…
The first thing is to see what this virus is- at its core, it stores its genetic material, RNA (no DNA). This RNA is the blueprint for all of the proteins shown in this picture: N which wraps the RNA, the spike which sticks out from the virus and binds host cells, M, E etc.
Sorry, quick caffeine break. I overestimated my Saturday morning energy levels.
Read 38 tweets

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