#open data

High-temperature fusion plasma experiments conducted in the Large Helical Device (LHD) of the National Institute for Fusion Science (NIFS), have renewed the world record for an acquired data amount, 0.92 terabytes (TB) per experiment, in February 2022, by using a full range of state-of-the-art plasma diagnostic devices. The International Thermonuclear Experimental Reactor (ITER), which is currently under construction in France through the international collaboration of seven parties, is expected to generate approximately 1 TB of data per experiment in 10 years, and LHD is currently the only experiment in the world that produces data closely aligned to ITER. The promotion of "Open Science," in which large-scale research data assets are utilized and shared across society, was adopted as a joint statement at the G7 meeting held in Sendai, Japan in 2023. NIFS started full-fledged efforts toward Open Science by establishing the "Open Access Policy" in February 2022 and the "Research Data Policy" in October 2022.

Read an article by the civic technology organization Pollicy to learn about the biggest challenges to digital rights for women and discover the different ways to advance women’s digital rights!

👉 http://bit.ly/3YJkUpb 

Adopting good scientific practices increases your visibility and the grade of your thesis

This is a short preview of the article: Adopting good scientific practices increases your visibility and your grade! Adopting healthy scientific practices is essential for conducting good quality research. This may be intuitive but it is hard to achieve and does not happen naturally. This video from the Royal Society introduces the

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Adopting good scientific practices increases your visibility and your grade! Adopting healthy scientific practices is essential for conducting good quality research. This may be intuitive but it is hard to achieve and does not happen naturally. This video from the Royal Society introduces the

Hope you will find it interesting and that it will help you in your journey

It helped that back in December, while the coronavirus was just starting to spread inside the Chinese city of Wuhan and the World Health Organization was still months away from declaring a global pandemic, the Taiwanese government deployed its equivalent of the US Defense Production Act to produce masks for its citizens. Army personnel went to work in mask-making factories to churn out enough supplies for the entire country. “The idea early on was to get three-quarters of the population into the habit of wearing masks and hand sanitation,” Audrey Tang, Taiwan’s youngest-ever digital minister told WIRED senior correspondent, Adam Rogers. In the same way that vaccines can produce herd immunity, if enough people get the shot, a majority of people in masks can achieve a similar effect.

But it was releasing supply-chain data to the public that allowed those masks to get where they needed to go. Taiwan's National Health Insurance system, the government-run single-payer health insurer, maintains a database of all the products that its nationwide network of pharmacies have in stock, updated in real time. Tang proposed building a mask-rationing system on top of that. Swipe your card, get your allocated quota of masks.

And crucially, she also pushed to release that data to the general public, via an open API. Once the project was greenlit, Tang invited a group of civic-minded hackers to have at it. And they did, building more than 140 apps, including maps showing which pharmacies still had supplies, visualizations of how many masks had been distributed and where, and voice assistants for the visually impaired.

Google has just released a new search functionality to discover available datasets on web.

Dataset Search has indexed almost 25 million datasets. You can filter the results based on the types of dataset that you want (e.g., tables, images, text), or whether the dataset is available for free from the provider. Youncan contribute by making datasets discoverable in Dataset Search thought an open standard to describe the properties on the dataset on your web page.

Try it out: