Tag: AWS Open Data Program
The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making over 100PB of high-value, cloud-optimized data available for public use. As April 22 is Earth Day, the AWS Open Data team wanted to highlight some new datasets from our geospatial and environmental communities of practice, as well as the other new or updated datasets available now on the Registry of Open Data on AWS and also discoverable on AWS Data Exchange.
34 new or updated datasets on the Registry of Open Data: New data for land use, Alzheimer’s Disease, and more
The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. This quarter, AWS released 34 new or updated datasets from Impact Observatory, The Allen Institute for Brain Science, Common Screens, and others, which are available now on the Registry of Open Data in the following categories.
The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. The full list of publicly available datasets are on the Registry of Open Data on AWS and are now also discoverable on AWS Data Exchange. This quarter, AWS released 22 new or updated datasets including Amazonia-1 imagery, Bitcoin and Ethereum data, and elevation data over the Arctic and Antarctica. Check out some highlights.
The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). Our full list of publicly available datasets are on the Registry of Open Data on AWS. This quarter, we released 13 new or updated datasets including CMIP5, 1950s US Decennial Census, and open genomics data for Galaxy. Read on for some highlights.
At AWS, we know these are challenging times and we remain committed to supporting nonprofits. This blog post outlines a sampling of programs and resources for nonprofits, including grants and credits, open data access, cloud training, educational events, and more, designed to enable organizations of all sizes to overcome barriers to technology adoption, while enhancing the scale, performance, and capabilities of mission operations.
About 40 million MRI scans are performed in the United States every year. MRIs are a valuable part of diagnostic plans, but as they exist today, they may not always be a part of a patient’s care plan. A research team at the New York University (NYU) Langone Center set out to make MRIs more accessible for more patients by using artificial intelligence (AI), machine learning (ML), and the power of cooperative open data sharing.
Radiant Earth Foundation is a nonprofit focused on delivering open geospatial data and analytics to the global development community (GDC) in support of their missions to address the Sustainable Development Goals (SDGs) and other key targets. Radiant Earth supports GDC by aggregating open geospatial data and providing access through its cloud-based platform, generating open Earth Observation (EO) machine learning tools and training data libraries, and creating new metadata standards through its MLHub Earth initiative. Additionally, the organization offers training resources to support capacity development and expertise in the geospatial and remote sensing sciences.
nauticAi is a maritime startup from Finland, specializing in affordable intelligent awareness solutions for ship operators. The company’s BOQA-solution (Bridge Operations Quality Assurance) automates the Operational Quality Assurance of maritime operations with proven methods from the flight industry. A few key components in their solution include open weather data from NOAA and Finnish FMI, Internet of Things (IoT) technology, and a serverless AWS architecture using AWS Lambda and Amazon Aurora. As part of the Amazon Sustainability Data Initiative, we invited Capt. Henrik Ramm-Schmidt, CEO and founder of nauticAi, to share the story of nauticAi with us.
This week, the bipartisan Open, Permanent, Electronic, and Necessary (OPEN) Government Data Act officially became law in the United States, requiring that non-sensitive data produced by US federal agencies be made publicly available in non-propriety and machine-readable formats by default. We have long supported this legislative proposal since it was first introduced in 2016, and commend both the Congressional leaders and the Administration for their commitment to making open data a priority.
The AWS Institute interviewed Natalie Evans Harris, co-founder and CEO of BrightHive and former senior policy advisor to the US Chief Technology Officer in the Obama administration. Harris founded the Data Cabinet, a federal data science community of practice with over 200 active members across more than 40 federal agencies, co-led a cohort of federal, nonprofit, and for-profit organizations to develop data-driven tools through the Opportunity Project, and established the Open Skills Community through the Workforce Data Initiative. She also led an analytics development center for the National Security Agency (NSA) that served as the foundation for NSA’s Enterprise Data Science Development program and became a model for other intelligence community agencies.