DataScience@NIH Updates from the NIH Interim Associate Director for Data Science

Having trouble viewing this email? View it as a Web page. We are considering ways to better share DataScience@NIH news with you. Please send your feedback on this newsletter via email to grace.middleton@nih.gov. We look forward to your comments and strengthening our outreach efforts. DataScience@NIH  New This Week: DC DATACON: A focus on the applied tools, technologies, and methodologies that make data science work. Join the Conversation! Data Community DC is proud to partner with George Washington University on Tuesday, October 3, 2017 to bring together nearly 1,000 stakeholders in the data community of the national capital region. Are you part of the Data Science Community in the Mid-Atlantic Region? Commercial, Government, Academia, Research, and Non-Profit—come gather with your community and be a part of charting the path ahead. Join us to participate in a robust agenda of highly relevant speakers and presenters. DC DATACON seeks to inspire conversation as the Mid-Atlantic region lays the groundwork for the direction Data Science will take in years to come. At this inaugural DC DATACON, we aim to explore topics that focus on the things that we need to do to make sure our work as data scientists has a real, tangible impact including organization, design, and technology. We will drive conversations about getting data science out of the lab and into the enterprise so we can finally begin using data as a strategic asset. Looking into our special concentration of public and private sector organizations, this region is ripe with qualified people to engage in the dialogue. Come participate in discussions focused on the impact data science has on industries including intelligent transportation, unmanned aerial systems, cybersecurity, public policy, defense, and intelligence. https://www.ncsi.com/dcdatacon/2017/index.php Reminders You May Need  Data Science Opportunities: The NIH Data Science Mentoring program is now accepting applications from NIH-affiliated individuals interested in participating in the program as either a mentor or a learner.  Skills in the area broadly defined as data science, like programming in languages like R and Python, machine learning, and data visualization, are increasingly important in many areas of biomedical research.  This program provides an opportunity for mentors with experience in these areas to help learners acquire the skills they need.  We suggest mentors and learners meet for up to one hour every other week at a place and time convenient to both of them, but mentoring pairs can establish a mutually-agreed-upon approach that works best for them.  There is no required ongoing commitment; either mentor or learner can opt out at any time.  Mentors and learners will receive a guidelines document to help them make the most of the mentoring experience and the program committee welcomes questions and feedback. The program committee will make an effort to pair everyone who applies, but because we typically receive more applications from learners than from mentors, we cannot guarantee that we will be able to pair every learner with a mentor at this time. To sign up as either a mentor or a learner, please complete the form at https://goo.gl/forms/yaDsZQcHdTa1rMjh2.  If you have any questions, please contact Ben Busby (ben.busby@gmail.com) or Lisa Federer (lisa.federer@nih.gov).  Data Science Rotation for Advancing Discovery Trip (RoAD-Trip) The BD2K Training Coordinating Center (TCC) has developed the Data Science Rotations for Advancing Discovery (RoAD-Trip) program to specifically foster new collaborations among junior biomedical researchers and senior-level data scientists to address the challenge of translating complex data into new knowledge. Application are due September 16, 2017. The BD2K Training Coordinating Center has been creating and populating the Educational Resource Discovery Index (ERuDIte), a database of 10,000+ data science educational resources from collective BD2K activities and from around the web. Learn More: http://www.bigdatau.org/. Find the ERuDite search box at the top of the page to access the database. To contribute your feedback, contact John Van Horn at: jvanhorn@usc.edu. The bioCADDIE DDICC Core Team is pleased to announce the release of DataMed v3.0! DataMed is designed to be for data what PubMed has been for scientific literature. This version of the Data Discovery Index (DDI) prototype includes many additional datasets and reflects considerable user/stakeholder input. The user interface has also been updated to reflect this input. Your feedback is welcome, via the issue tracker included in the landing page. For more information about DataMed v3.0, email: biocaddie@ucsd.edu or Anupama.E.Gururaj@uth.tmc.edu. Data Science Events: Virtual Workshop for Advanced OpenSim Users October 23-27, 2017. The National Center for Simulation in Rehabilitation Research will host a virtual workshop intended for OpenSim users who want assistance from the OpenSim team on specific research projects. Participants will work on their projects while getting assistance from OpenSim experts remotely through videoconferencing and a specialized chat room. Applications to participate are due September 15, 2017. Learn more about the workshop. Submissions: We welcome your input! Submissions must be received prior to 12:00 noon ET on Monday to be included in that same week's edition. If you are requesting attendance at an event by Federal employees, it is recommended that you submit your event information a minimum of one month in advance. To submit a news item, contact: Grace.Middleton@nih.gov.  Follow DataScience@NIH on  Twitter and  Facebook. 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