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

Having trouble viewing this email? View it as a Web page. DataScience@NIH Important This Week: Big Data Science with the BD2K-LINCS Data Coordination and Integration Center - MOOC on Coursera. November 27, 2017, 12am – 12am. Learn various methods of analysis including: unsupervised clustering, gene-set enrichment analysis, interactive data visualization, and supervised machine learning with application to data from the Library of Integrated Network-based Cellular Signature (LINCS) program, and other relevant Big Data from high content molecular omics data and phenotype profiling of mammalian cells. https://www.coursera.org/learn/bd2k-lincs   RDA-US 2017 Call for Adoption Projects. The Research Data Alliance announces the availability of support to assist U.S. projects, groups and organizations in adopting RDA Recommendations.  Applications due Friday, November 30, 2017. For more information please visit  https://www.rd-alliance.org/rda-us-2017-call-adoption-projects   The BD2K Guide to the Fundamentals of Data Science: Data Science Needs for Biomedical Research. Ian Foster, University of Chicago. December 1, 2017, 9am – 10am. For more information please visit https://attendee.gotowebinar.com/register/7111730654574370307.   BD2K-LINCS Network Analysis in Systems Biology - MOOC on Coursera. December 4, 2017, 12am – 12am. An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course presents software tools developed by the Ma'ayan Laboratory (http://icahn.mssm.edu/research/labs/maayan-laboratory) from the Icahn School of Medicine at Mount Sinai, but also other freely available data analysis and visualization tools. For more information please visit https://www.coursera.org/learn/network-biology   Global Women in Data Science (WiDS) Conference. Register now for the WiDS Conference, happening on March 5, 2018, at Stanford and at 100+ locations worldwide. For more information please visit http://www.widsconference.org/   Big Data in Biomedicine Conference: Transforming Lives Through Precision Health. May 23-24, 2018. Silicon Valley, California. Researchers and leaders from academia, hospitals, government and industry will for two days at Stanford Medicine to spark collaborations, address challenges, and identify actionable steps for using large-scale data analysis and technology to improve human health. For more information please visit http://bigdata.stanford.edu   Save the Date: The Center for Causal Discovery Summer Short Course on Causal Discovery and Datathon will be held June 11-15, 2018. Our short course is appropriate for both biomedical and data scientists at the level of graduate students on up who seek training in causal discovery and graphical modeling of biomedical data. Our datathon is designed to instruct and challenge biomedical researchers on the use and application of causal modeling and discovery tools in a "bring your own data event". Details, prerequisites, and videos of past presentations for both the short course and datathon can be found at the 2017 website. Reminders You May Need    Data Science Opportunities: NIH made 12 awards to support the NIH Data Commons Pilot Phase. The goal of the NIH Data Commons Pilot Phase is to accelerate biomedical discoveries by making biomedical research data Findable, Accessible, Interoperable, and Reusable (FAIR) for more researchers. Read more https://www.nih.gov/news-events/news-releases/nih-awards-test-ways-store-access-share-compute-biomedical-data-cloud   The BD2K-LINCS DCIC is currently accepting applications for the BD2K-LINCS DCIC 2018 Summer Research Training Program in Biomedical Big Data Science, a research intensive ten-week training program for undergraduate and graduate students. Please visit http://www.lincsproject.org/LINCS/news to learn more or to register.   The KnowEnG BD2K center is pleased to announce the initial public release of the Knowledge Engine for Genomics (KnowEnG). The KnowEnG platform is a scalable cloud-based computing platform that enables knowledge-guided machine learning and graph mining analyses and exploration of results with interactive visualizations. In this first public release, KnowEnG is offered for free and we encourage researchers to try our platform. We welcome your feedback! More information about KnowEnG is available at https://knoweng.org/analyze/ Please contact us at knoweng@illinois.edu for more information and access. Summer Research Program in Biomedical Big Data Science June - August 2018 – The Summer Research Training Program in Biomedical Big Data Science sponsored by the BD2K-LINCS Data Coordination and Integration Center (DCIC) is a research-intensive ten-week training program for undergraduate and graduate students interested in participating in cutting edge research projects aimed at solving data-intensive biomedical problems. Applications are being accepted now, and are due February 1, 2018. New RNA-Seq Data Resource Now Available. BD2K-grantee, Dr. Avi Ma'ayan, and colleagues, recently developed all RNA-seq and ChIP-seq sample and signature search (ARCHS4), a web resource that makes the majority of previously published RNA-seq data from human and mouse freely available at the gene count level. ARCHS4 is freely accessible from: http://amp.pharm.mssm.edu/archs4. NIAID is offering an exciting fellowship opportunity in data science for recent graduates (past 5 years) who are interested in acquiring a unique training experience involving rotations throughout the Institute to either intramural or extramural programs engaged in data-intensive science.   Please see the following link for more information:  https://www.zintellect.com/Posting/Details/3600 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: Managing Digital Research Objects in an Expanding Science Ecosystem will be held on Wednesday, November 15th, 2017 from 9:00 am - 5:00 pm EST in the Lister Hill National Center for Biomedical Communications at U.S. National Library of Medicine/NIH (8600 Rockville Pike, Bethesda, MD 20894). This event is being co-sponsored by CENDI, National Federation of Advanced Information Services (NFAIS), Research Data Alliance/US (RDA/US) and the National Academies Board on Research Data and Information.  Hosted by The National Library of Medicine/NIH  Sessions will include: Developing Frameworks that Address the Challenge Identifiers as an integral Part of the Scholarly Record Creating and Maintaining Standards for Object Identifiers, Persistent Identifiers for Data Sets, Industry Incorporation of Identifiers Using multiple, interlinked, and evolving research artifacts to advance research Connecting Users with Digital Research Objects Scientific Use Case Analysis, Metadata Harmonization, Linked Open Data Approach, Sustainable Environment/Actionable Data Filling the Gaps and Moving the Agenda Forward Register Now! Call for Papers for the NIPS Workshop on Machine Learning for Health (NIPS ML4H 2017) entitled What parts of Healthcare are Ripe for Disruption by Machine Learning Right Now? A workshop at the Thirty-First Annual Conference on Neural Information Processing Systems (NIPS 2017) will take place Friday, December 8, 2017: Long Beach Convention Center, Long Beach, CA, USA. https://ml4health.github.io/2017/ Dates Abstract Paper submission instructions Please direct questions to: ml4h.workshop.nips.2017@gmail.com Announcing the Speakers for the 2nd Year of the Big Data to Knowledge Guide to the Fundamentals of Data Science Webinar Series. This virtual lecture series on data science features presentations from experts across the country covering the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to "big data" in biomedicine. Learn more and register. Studying Systems Biology by Cellular Perturbations – The BD2K-LINCS Data Coordination and Integration Center (DCIC) and the University of Miami will host the third annual BD2K-LINCS Data Science Symposium (DSS 2018) on January 31 – February 2, 2018. This symposium brings together experts in systems biology, data science, drug discovery and translational medicine from academia, industry and government to present their latest research and exchange new ideas in data-driven biomedical research. 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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