Phys .org: How to quickly and efficiently identify huge gene data sets to help coronavirus research

Phys .org: How to quickly and efficiently identify huge gene data sets to help coronavirus research. “Thanks to the advancement of sequencing technology, it’s possible to produce massive amounts of genome sequence data on various species. It’s crucial to examine pan-genomic data—the entire set of genes possessed by all members of a particular species—particularly in areas like bacteria and virus research, investigation of drug resistance mechanisms and vaccine development. For example, why is the coronavirus resistant to common drugs? Can big data help to rapidly identify the characteristics of such novel virus strains? A group of researchers supported by the EU-funded PANGAIA project is now tackling this challenge by developing methods for comparing gigantic gene data sets.”

USC Viterbi School of Engineering: USC Researchers Release Public Coronavirus Twitter Set for Academics

USC Viterbi School of Engineering: USC Researchers Release Public Coronavirus Twitter Set for Academics. “Researchers at the USC Viterbi School of Engineering Information Sciences Institute (ISI) and the Department of Computer Science have released a public coronavirus twitter dataset for scholars. Emilio Ferrara and Kristina Lerman, the principal researchers on this project, have a history of studying social media and bots to understand how misinformation, fear and influence spread online.”

Phys .org: ‘Data feminism’ examines problems of bias and power that beset modern information

Phys .org: ‘Data feminism’ examines problems of bias and power that beset modern information. “Suppose you would like to know mortality rates for women during childbirth, by country, around the world. Where would you look? One option is the WomanStats Project, the website of an academic research effort investigating the links between the security and activities of nation-states, and the security of the women who live in them.”

Phys .org: With 30,000 surveys, researchers build the go-to dataset for smallholder farms

Phys .org: With 30,000 surveys, researchers build the go-to dataset for smallholder farms . “Top-down projects for improving the lives of poor farmers were often unsuccessful because they didn’t systematically consider the diverse rural households survive and thrive. To tap this local knowledge, scientists and development agencies began surveying households to assure that research and development schemes were on target. But the surveys were not designed to be compared with one another, lacking what scientists call ‘interoperability’—meaning one organization’s household surveys could not be compared with another’s. For big-picture analysis, much of the data was of little use.”

Analytics India Magazine: 10 Face Datasets To Start Facial Recognition Projects

Analytics India Magazine: 10 Face Datasets To Start Facial Recognition Projects. “One of the major research areas, facial recognition has been adopted by governments and organisations for a few years now. Leading phone makers like Apple, Samsung, among others, have been integrating this technology into their smartphones for providing maximum security to the users. As per research, facial recognition technology is expected to grow and reach $9.6 billion by 2020. In this article, we list down 10 face datasets which can be used to start facial recognition projects.”

Nature: Find a home for every imaging data set

Nature: Find a home for every imaging data set. “Services such as [the Electron Microscopy Public Image Archive] give researchers a central location in which to store, share and access a rapidly expanding corpus of biological images. “The data aren’t just one picture any more,” says Joshua Vogelstein, a neurostatistician at Johns Hopkins University in Baltimore, Maryland. Movies, 3D images and microscope-based screening data can take up gigabytes or terabytes of storage, and can’t be e-mailed back and forth in the same way as individual TIFF or JPEG files. Moreover, grant agencies and journals increasingly require scientists to make their data available to all, but don’t necessarily offer to host them. EMPIAR and its kin fill that gap, and often provide a digital object identifier or other citation so researchers can get credit for their data.”

Phys .org: Updated legal maps show marginal change in U.S. state fair housing laws

Phys .org: Updated legal maps show marginal change in U.S. state fair housing laws. “Two updated datasets published to LawAtlas.org today show minimal change in state fair housing laws and city nuisance property ordinances since 2017, in spite of the continued housing crisis in the United States.”