Recommended Resource

I recommend adding the webpage "Open Access in Australia" on Wikiwand that documents Australia's history for accepting and promoting open access and open publication in its country.

The site contains a timeline that documents key years in which the open movement, open access, open government, and open data concepts were introduced. The year that CC Australia was established is included in the timeline.

**Recommend Resource: ** Under the "More Information About Other Open Movements" I recommended adding Higashinihon Daishinsai Shashin Hozon Purojekuto, (trans. Great Earthquake of Eastern Japan Photo Archiving Project) which is one of Japan's open government and open data efforts to document all photographs about Japan's 2011 earthquake.

The site currently contains close to 40,000 photographs of the aftermath of the natural disaster.

The photos are hosted by Yahoo! Japan and are published under non-commercial clause for open access to the public.

https://www.youtube.com/watch?v=bWkwOefBPZY

Some of the basic outline of this looks like OER (Open Educational Resources) and its "five Rs": Retain, Reuse, Revise, Remix and/or Redistribute content. (To which I've already suggested the sixth: Request update (or revision control).

Some of this is similar to:

The Read Write Web is no longer sufficient. I want the Read Fork Write Merge Web. #osb11 lunch table. #diso #indieweb [Tantek Çelik](http://tantek.com/2011/174/t1/read-fork-write-merge-web-osb110

Idea of collections of learning as collections or "playlists" or "readlists". Similar to the old tool Readlist which bundled articles into books relatively easily. See also: https://boffosocko.com/2022/03/26/indieweb-readlists-tools-and-brainstorming/

Use of Wiki version histories

Some of this has the form of a Wiki but with smaller nuggets of information (sort of like Tiddlywiki perhaps, which also allows for creating custom orderings of things which had specific URLs for displaying and sharing them.) The Zettelkasten idea has some of this embedded into it. Shared zettelkasten could be an interesting thing.

Data is the new soil. A way to reframe "data is the new oil" but as a part of the commons. This fits well into the gardens and streams metaphor.

Jerry, have you seen Matt Ridley's work on Ideas Have Sex? https://www.ted.com/talks/matt_ridley_when_ideas_have_sex Of course you have: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/3e2c5c75-fc49-0688-f455-6de58e4487f1/attachments/8aab91d4-5fc8-93fe-7850-d6fa828c10a9

I've heard Jerry mention the idea of "crystallization of knowledge" before. How can we concretely link this version with Cesar Hidalgo's work, esp. Why Information Grows.

Cross reference Jerry's Brain: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/4bfe6526-9884-4b6d-9548-23659da7811e/notes

Saner, E. (2021, October 26). The psychology of masks: Why have so many people stopped covering their faces? The Guardian. https://www.theguardian.com/world/2021/oct/26/the-great-cover-up-why-the-uk-stopped-wearing-face-masks

I'm glad. I didn't like that the book (which is essentially a form of documentation/tutorial) was proprietary.

I think it's better to make documentation and tutorials be community-driven free content

the query terms are

((obesity[Disease]) NOT type 2 diabetes mellitus[Disease]) NOT cardiovascular diseases[Disease]

Test if this shows up in another list.

Finally found its BMI distribution... turns out to be in demographic category. So most samples from this study have BMI > 24. Good for us.

Annotation of query results.

https://hyp.is/HC71BHKSEeeUiwOclXegcg/www.cell.com/cell/pdf/0092-8674(94)90507-X.pdf

This paper has been curated by Flybase.

The top match SNP with key words: Obesity, T2D and CVD is on gene FTO.

Those with obesity but not hypertension or diabetes can be our candidates.

The data set can be found here: dbGaP Study Accession: phs000972.v2.p1 https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000972.v2.p1

I found some TOPMed and GTEx studies have candidate samples that match this criterion: more specifically, obese but without T2D or CVD history, from dbGAP. I have annotated those studies with tag "data commons examples" as this one.

Here are links to the studies:

https://hyp.is/EmVPcHIxEeeE3XcogSnW6A/www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000424.v7.p2&phv=169091&phd=3910&pha=&pht=2742&phvf=&phdf=&phaf=&phtf=&dssp=1&consent=&temp=1

https://hyp.is/qEtLpHIqEeegW5sF_saqFg/www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000972.v2.p1

The closest one we can get for human SNP

https://www.ncbi.nlm.nih.gov/snp/?term=rs8043757 https://hyp.is/PoigiHIyEee93tfb1TCdLA/www.ncbi.nlm.nih.gov/gap/phegeni

Can be a good one, too.

Mostly without CVD.

Mostly without T2D... good.

This T2D study measured BMI, DBP, SBP and cardiovascular disease medications as well. May have samples we need.

Not good.

This one may contain the sample we need. need to check their publications.

NCBI can save this query for me... I can annotate this as well.

Page 115

Borgman makes the point here that while there is a Commons in the infrastructure of scholarly publishing there is less of a Commons in the infrastructure 4 data across disciplines.

The infrastructure of scholarly publishing Bridges disciplines: every field produces Journal articles, conference papers, and books albeit in differing ratios. Libraries select, collect organize and make accessible publications of all types, from all fields. No comparable infrastructure exists for data. A few Fields have major mechanisms for publishing data in repositories. Some fields are in the stage of developing standards and practices to activate their data resorces and Nathan were widely accessible. In most Fields, especially Outside The Sciences, data practices remain local idiosyncratic, and oriented to current usage rather than preservation operation, and access. Most data collections Dash where they exist Dash are managed by individual agencies within disciplines, rather than by libraries are archives. Data managers usually are trained within the disciplines they serve. Only a few degree programs and information studies include courses on data management. The lack of infrastructure for data amplifies the discontinuities in scholarly publishing despite common concerns, independent debates continue about access to Publications and data.