Harnessing the data revolution: a perspective from the National Science Foundation
Date
Authors
Baru, Chaitan, author
Journal Title
Journal ISSN
Volume Title
Abstract
This talk will introduce NSF's vision for moving beyond isolated standalone approaches for data science, services, and infrastructure, towards a cohesive, federated, national-scale approach that will harness the data revolution and transform US science, engineering, and education over the next decade and beyond.
Description
Presented at the National data integrity conference: data sharing: the how, why, when and when not to share held on June 2-3, 2016 at University of Colorado, Denver, Colorado. The National Data Integrity Conference is a gathering of people sharing new challenges and solutions regarding research data and integrity. This conference aims to provide attendees with both an understanding of data integrity issues and impart practical tools and skills to deal with them. Topics addressed will include data privacy, openness, policy, education and the impacts of sharing data, how to do it, when to do it, and when not to. Speakers and audience members come from diverse fields such as: Academic Research; Information Technology; Quality Assurance; Regulatory Compliance; Private Industry; Grant Funding; Government.
Dr. Baru is involved with the Big Data program and interdisciplinary and inter-agency Data Science-related activities. He co-chairs the NITRD inter-agency Big Data Senior Steering Group and coordinates and expands upon SDSC's myriad data-centric initiatives, all aimed at leveraging advancements in high-performance computing and data analysis to accelerate research and discovery.
PowerPoint presentation given on June 2, 2016.
Dr. Baru is involved with the Big Data program and interdisciplinary and inter-agency Data Science-related activities. He co-chairs the NITRD inter-agency Big Data Senior Steering Group and coordinates and expands upon SDSC's myriad data-centric initiatives, all aimed at leveraging advancements in high-performance computing and data analysis to accelerate research and discovery.
PowerPoint presentation given on June 2, 2016.
Rights Access
Subject
data science research
foundational research
cyberinfrastructure
education
workforce development
collaboration
community building
Big data