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 New This Week: A Request for Information (RFI): Next-Generation Data Science Challenges in Health and Biomedicine was announced on Friday, September 29th by the NIH and National Library of Medicine. NLM requests information on the three focal areas listed below: Promising directions for new data science research in the context of health and biomedicine. Input might address such topics as Data Driven Discovery and Data Driven Health Improvement. Promising directions for new initiatives relating to open science and research reproducibility. Input might address such topics as Advanced Data Management and Intelligent and Learning Systems for Health. Promising directions for workforce development and new partnerships. Input might address such topics as Workforce Development and Diversity and New Stakeholder Partnerships. Within these general topic areas, or others related to data science in health and biomedicine, NLM invites researchers, clinicians, organizations, industry representatives and other interested parties to provide input on: Research areas that could benefit most from advanced data science methods and approaches; Data science methods that need updating, or gap areas where new approaches are needed;  Priorities for new data science research; Appropriate partnerships and settings for expanded data science research. Responses to this RFI must be submitted by November 1, 2017. Responses should be provided in a narrative form of up to 3 pages per topic, with links to pertinent supplemental information if needed. No attachments will be accepted. No proprietary, classified, confidential, or sensitive information should be included in your response. For all details, guidelines, and further information, please refer to the RFI. 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. Reminders You May Need    Data Science Opportunities: 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 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).  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: The BD2K KnowEng Center is about to release its platform for genomics data analysis. See a presentation by the co-director of the Center for a brief overview of the KnowEnG system from the user's perspective, while also touching upon some key features of the underlying technologies. KnowEnG: Knowledge Network the BioCreative VI workshop will take place in October 18-20, Bethesda, Maryland, at the Double Tree hotel (walking distance from the NIH main campus). In addition, BioCreative VI will host a general session to provide an opportunity to discuss related work to BioCreative topics, including data set preparation, evaluation, biomedical information extraction. We are soliciting submission of your bioNLP/biocuration/text mining work in the form of a 2-page abstract (more information can be found in the links below). There is an opportunity to be selected for oral presentation during the general session. Keynote speakers are: Dr. Patricia Flatley Brennan, Director of National Library of Medicine, NIH Dr. Hongfang Liu, Professor Biomedical Informatics, Mayo Clinic Planned panels are: Panel on Innovation on Digital Curation Panel on Funding Agencies For more information, please visit: http://www.biocreative.org/events/biocreative-vi/workshop/ Registration to workshop attendance: http://www.udel.edu/biocreative6 Travel awards Funds are available for US participants for the amount up to $700 to participate in the BioCreative workshop. Women, under-represented minorities, students, and post-doctoral fellows are encouraged to apply. Georgetown University will hold a Biomedical Big Data Resources and Analysis Tools Training Workshop November 3-4, 2017. This two-day, in-person workshop for academic faculty at any level, will cover major concepts, methods, and tools of translational bioinformatics. It will feature hands-on computer based exercises using web-based bioinformatics resources. Workshop registration and information. 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. This service is provided to you at no charge by the Office of Communication and Public Liaison. This email was sent using GovDelivery Communications Cloud on behalf of: U.S. National Library of Medicine · 8600 Rockville Pike · Bethesda, MD 20894