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#openscience

36 posts32 participants0 posts today

🎉 Today marks 10 years since the very first @multiqc commit!

What started as a simple tool for QC reports has grown into something used by labs worldwide. It's become a foundational tool in the fabric of #bioinformatics and it's a joy to see it play a part in research 🧬

I'm so grateful for the amazing community that's contributed, given feedback, and helped shape it into what it is today. A true testament to the power of #openscience

Here's to the next decade of making QC beautiful! 🧬

Continued thread

to me, the real problem is the notion of the journal article, the narrative. There is nothing intrinsically wrong with narratives. actually, they are an essential part of scientific communication.

But the current narratives are *only* narratives. And these narratives are not backed by proper #openscience and the narratives themselves are not FAIR.

That makes it really hard to review the studies. Indeed:

Continued thread

the preprint argues that a flood of mediocre articles is (partly) caused by open data making it easy to do all sorts of analyses of these.

It seems to me that the observation is correct. I have had this impression in #cheminformatics too, and, indeed, running an analysis on a data set like Tox21, ChEMBL, etc, had been getting increasingly easy.

But I do not think that #openscience and #FAIR are the problem, nor restricting access the solution.

I have some ideas about the underlying problem:

People believe in 'storybook science' which creates unrealistic expectations. Uncomfortable truths are therefore rejected. As such, "Lying increases trust in science", but ultimately better education is needed.

By dr. Hyde --- yes there is ironic twist to the name.

link.springer.com/article/10.1

SpringerLinkLying increases trust in science - Theory and SocietyThis study begins by outlining the transparency paradox: that trust in science requires transparency, but being transparent about science, medicine and government reduces trust in science. A solution to the paradox is then advanced here: it is argued that, rather than just thinking in terms of transparency and opacity, it is important to think about what institutions are being transparent about. By attending to the particulars of transparency – especially with respect to whether good or bad news is disclosed – it is revealed that transparency about good news increases trust whereas transparency about bad news decreases it, thus explaining the apparent paradox. The apparent solution: to ensure that there is always only good news to report, which might require lying. This study concludes by emphasizing how problematic it is that, currently, the best way to increase public trust is to lie, suggesting that a better way forward (and the real solution to the transparency paradox) would be to resolve the problem of the public overidealizing science through science education and communication to eliminate the naïve view of science as infallible.

📚 First publication from CiVers!

🤔 How can we reliably cite resources of web-based research databases in archaeology and the humanities?

💡 In our new article, we present the CiVers approach: creating versioned, citable web resources using Persistent Identifiers (PIDs).

🧠 Read the full open-access paper here:
🔗 publications.dainst.org/journa

publications.dainst.orgTerms and concepts of publishing and citing information resources in archaeology and beyond. A perspective from the CiVers project and the iDAI.world. | Forum for Digital Archaeology and Infrastructure

This is why Open Government Data matters. The Impact Project's recently released Public Health Map uses freely available, openly accessible, federal data to illustrate the local health capacity consequences of rapidly changing policies under this Administration. #OpenData #OpenScience

theimpactproject.org/public-he

The Impact ProjectPublic Health Map - The Impact ProjectThe Office and Budget Map provides timely data on policy, funding, and workforce changes and their localized effect.