Data Center Dynamics: Arctic World Archive adds latest data deposit in Svalbard facility

Data Center Dynamics: Arctic World Archive adds latest data deposit in Svalbard facility. “In a bi-annual ceremony (that was delayed by the pandemic), Piql added reels of data from the Norwegian Armed Forces Museum, Natural History Museum, Guttormsgaards Arkiv, The Saga Heritage Foundation, Tronrud Engineering, National Széchényi Library (National Library of Hungary), Indira Gandhi National Centre for Arts and Ministry of Culture in India, Sapio Analytics, Artemis Arts, and others. It joins data from the National Archive of Brazil, Mexico, and a huge deposit from GitHub.”

BioSpectrum Asia: Korea to establish national digital library on health and genome data by 2028

BioSpectrum Asia: Korea to establish national digital library on health and genome data by 2028. “The second pilot project will analyze the genetic makeup of 12,500 donated DNA samples from Korean patients living with a rare disease. Over the next year, the resulting data will be used by the Illumina-backed consortium to prepare for the main project in analyzing and comparing the genes of 1 million Koreans to advance the country’s medical technology and improve future public health.”

US Department of Energy: DOE invests $13.7 million for research in data reduction for science

US Department of Energy: DOE invests $13.7 million for research in data reduction for science. “Today, the U.S. Department of Energy (DOE) announced $13.7 million in funding for nine research projects that will advance the state of the art in computer science and applied mathematics. The projects – led by five universities and five DOE National Laboratories across eight states – will address the challenges of moving, storing, and processing the massive data sets produced by scientific observatories, experimental facilities, and supercomputers, accelerating the pace of scientific discoveries.”

Scientific American: Mining Social Media Reveals Mental Health Trends and Helps Prevent Self-Harm

Scientific American: Mining Social Media Reveals Mental Health Trends and Helps Prevent Self-Harm. “Globally, more than four billion people use social media, generating huge stores of data from their devices. That information can be used in tracking more than just what they buy, their political leanings or the patterns of social media usage during the pandemic. It can also be channeled to help better detect mental illness and improve well-being. A growing number of studies show that language patterns and images in posts can reveal and predict mental health conditions for individuals and also evaluate mental health trends across entire populations.”

USDA: Agricultural Research Data Network Increases Access to Historical Crop Data

USDA: Agricultural Research Data Network Increases Access to Historical Crop Data. “ARDN is dedicated to making high value datasets from past research and experiments compatible with crop models and other analytical tools. With support from the National Institute of Food and Agriculture (NIFA), NAL and the University of Florida are piloting a ‘hackathon’ approach to make this old data useful. Experts gather several times a year to create standardized vocabulary and extract relevant information to use in the AgMIP Crop Experiment data schema (ACE) – a widely used data format for agricultural models.”

Penn State News: Penn State offers new online certificate in financial engineering

Penn State News: Penn State offers new online certificate in financial engineering. “As more companies continue to rely on mass data sets to solve critical financial issues and guide important business decisions, professionals who can analyze complex data to support business ventures will be more in demand. Those interested in increasing their knowledge of quantitative data analysis and management to gain an edge in this competitive field can now do so through a new online credential from Penn State.”

SiliconANGLE: Tableau’s latest release adds new tools for scaling up data analytics

SiliconANGLE: Tableau’s latest release adds new tools for scaling up data analytics. “The company is framing Tableau 2021.3 as a major new release that’s meant to help organizations better manage the ‘data chaos’ that exists today and ensure superior governance of data as they expand their operations. There are a number of new features meant to ensure analytics can scale with enterprise demand, Tableau said.”

Future of Privacy Forum: FPF And Mobility Data Collaborative Release Resources To Help Organizations Assess The Privacy Risks Of Sharing Of Mobility Data

Future of Privacy Forum: FPF And Mobility Data Collaborative Release Resources To Help Organizations Assess The Privacy Risks Of Sharing Of Mobility Data. “The Future of Privacy Forum (FPF) and SAE’s Mobility Data Collaborative (MDC) have created a transportation-tailored privacy assessment that provides practical and operational guidance to organizations that share mobility data, such as data from the use of ride-hailing services, e-scooters, or bike-sharing programs. The Mobility Data Sharing Assessment (MDSA) will help organizations assess and reduce privacy risks in their data-sharing processes.”

New York Times: Show Me the Data!

New York Times: Show Me the Data!. “Who should get vaccine booster shots and when? Can vaccinated people with a breakthrough infection transmit the virus as easily as unvaccinated people? How many people with breakthrough infections die or get seriously ill, broken down by age and underlying health conditions? Confused? It’s not you. It’s the fog of pandemic, in which inadequate data hinders a clear understanding of how to fight a stealthy enemy.”

NIST: Putting Together the Big Picture for the World Trade Center Disaster Investigation

NIST: Putting Together the Big Picture for the World Trade Center Disaster Investigation. “We needed to be able to organize this material in such a way that the stills and clips could quickly and easily be called up to answer questions. NIST researchers would want to know such things as where and when fire or smoke was visible inside specific parts of the buildings, what time particular windows were broken, and which areas appeared to resist fire spread. By the time NIST was officially assigned the responsibility for an investigation into the collapse of the WTC towers, we had already selected a digital asset management software system, thought out how a database might be used by researchers, developed search terms, and started to populate that database with early sets of photographs.”

Quanta Magazine: How Big Data Carried Graph Theory Into New Dimensions

Quanta Magazine: How Big Data Carried Graph Theory Into New Dimensions. “Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way to model real-world phenomena since at least the 18th century. But a few decades ago, the emergence of giant data sets forced researchers to expand their toolboxes and, at the same time, gave them sprawling sandboxes in which to apply new mathematical insights. Since then, said Josh Grochow, a computer scientist at the University of Colorado, Boulder, there’s been an exciting period of rapid growth as researchers have developed new kinds of network models that can find complex structures and signals in the noise of big data.”

UC Santa Barbara: Taming Satellite Data

UC Santa Barbara: Taming Satellite Data. “More than 700 imaging satellites orbit the Earth, and every day they beam vast amounts of information to databases on the ground. There’s just one problem: While the geospatial data could help researchers and policymakers address critical challenges, only those with considerable wealth and expertise can access it. Now, a team of scientists, including UC Santa Barbara’s Tamma Carleton… has devised a machine learning system to tap the problem-solving potential of satellite imaging.”