The following is from Sonynka Ngosso from the Office of Strategic Coordination at the National Institutes of Health (NIH) announcing the new Big Data to Knowledge Reserouces Page.  Dear Colleagues,   Big Data to Knowledge (BD2K) grantees developed a series of resources for the biomedical research and data science communities to use big data to answer biomedical research questions. Under current efforts to make the products of BD2K research usable, discoverable, and disseminated to the biomedical research community, the NIH Office of Strategic Coordination (OSC) released a webpage with direct hyperlinks to the resources developed through BD2K funding (https://commonfund.nih.gov/bd2k/resources).   The BD2K resource page will be updated periodically and populated with new resources as they become available. Please […]

The Data Science and the Big Data to Knowledge (BD2K) initiative at the National Institutes of Health (NIH) have a number of announcements and upcoming events. New Announcements The 2017 Benjamin Franklin Award for Open Access in the Life Sciences is now accepting nominations. This is a humanitarian award presented annually by Bioinformatics.org to an individual who has, in his or her practice, promoted open-access to the materials and methods used in the life sciences. The ceremony for the presentation of the Award will be held at the 2017 Bio-IT World Conference + Expo in Boston. For more information, visit this website.  The Association for Computing Machinery (ACM) and the American […]

The Data Science and the Big Data to Knowledge (BD2K) initiative at the National Institutes of Health (NIH) have a number of upcoming opportunities, events, and announcements. Active BD2K Opportunities MD2K Training Opportunity: The 2017 mHealth Training Institute at UCLA, August 6-11, 2017, is now accepting applications. This unique transdisciplinary incubator brings together researchers for a week-long, immersive “bootcamp” in all things related to mHealth. In addition to providing the participants with a core educational grounding in transdisciplinary perspectives and methodologies essential to mHealth innovation, the mHTI seeks to instill in participants the intrapersonal and interpersonal skills and connections necessary for cross-cutting research. Applications due January 29, 2017. For more information […]

The Associate Director for Data Science (ADDS) and the Big Data to Knowledge (BD2K) initiative at the National Institutes of Health (NIH) would like to invite you and your communities to attend the Open Data Science Symposium on December 1, 2016. The goal of the symposium is to engage the public with data science at NIH now, and in the future. The highlights of the meeting include: A dialogue on open science with NIH Director, Dr. Francis Collins and former NIH director, Dr. Harold Varmus Demonstrations of the 6 prototypes for the Open Science Prize, a worldwide competition to leverage Open Data for biomedical discovery A keynote lecture from John Wilbanks, head commons […]

The National Institutes of Health (NIH) Big Data to Knowledge (BD2K) program is pleased to announce The BD2K Guide to the fundamentals of Data Science, a series of online lectures given by experts from across the country covering a range of diverse topics in data science. This course is an introductory overview that assumes no prior knowledge or understanding of data science. The series starts Friday, September 9th and will run all year once per week at 12noon-1pm ET. If you would like to join the meeting, please go to the BD2K Guide web page for the most up-to-date computer or mobile logins.  This is a joint effort of the BD2K Training Coordinating Center (TCC), the BD2K Centers Coordination Center […]

The National Institutes of Health (NIH) Big Data to Knowledge initiative (BD2K) has announced the release of an Request for Applications (RFA) for software and methods development in biomedical big data science: “Big Data to Knowledge (BD2K) Development of Software Tools and Methods for Biomedical Big Data in Targeted Areas of High Need (U01)“. This opportunity targets three topic areas of high need for researchers working with biomedical Big Data: Data privacy is one of the fundamental challenges of our age. To take full advantage of the power of big data to drive biomedical discovery, researchers must work with data from disparate sources and with differing privacy policies and protections. How do we integrate […]