• Episode 3: Navigating the Common Fund Data Ecosystem’s Data & Resources to Empower Scientific Discoveries
    Feb 21 2025
    Description

    This month, tune in to Dr. Allissa Dillman and Jennifer Burnette, CFDE Training Center Project Director, as they introduce the goals and initiatives of the CFDE Training Center (TC). They highlight a new Mentoring Program Pilot launching as a 10-week virtual program from June to August, where mentee teams will work on open-source projects using CFDE datasets.

    Guest Bio

    Jennifer Burnette is a project manager and director for ORAU expertly steering complex, interdisciplinary programs that bridge local, state, and federal stakeholders. Her career is a testament to her ability to navigate complex networks, having successfully coordinated projects for over 20 federal agency customers including the Centers for Disease Control and Prevention (CDC), Department of Energy (DOE), Department of Homeland Security (DHS), Federal Emergency Management Agency (FEMA), National Institutes of Health (NIH), National Science Foundation (NSF), and 13 DOE and other federal national laboratories.

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    9 mins
  • Episode 2: Reproducibility and Training on the Elements of Style
    Jan 21 2025

    Description

    This month, join Dr. Allissa Dillman and guest Dr. Anne Deslattes Mays, creator of the Kids First & INCLUDE Elements of Style in Workflow Creation 5-day training. They will discuss ways to make bioinformatics projects more reproducible and accessible, the role of instructors and trainers in lowering the barriers to accessibility, community collaboration’s impact on reproducible research, and what makes the Kids First dataset unique.

    Bio

    Anne Deslattes Mays is a mathematician and software engineer by training, with a PhD in Tumor Biology, and more than 30 years of experience in large-scale computing for biomedical research. Recent roles include serving as Principal Computational Scientist at The Jackson Laboratory and as a DATA Scholar Fellow in the Office of Data Science and Sharing at NIH. She is also the author of an upcoming book, Elements of Style in Creating Workflows for Biomedical Research (Springer Verlag), which will include practical guidance, analyses, and a supporting GitHub repository. This work reflects her commitment to sharing knowledge and advancing the biomedical data ecosystem through open, accessible tools and practices.

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    34 mins
  • Episode 1: Unveiling the Strengths of the CFDE: A Resource for All Researchers
    Dec 12 2024

    Episode 1 – Unveiling the Strengths of the CFDE: A Resource for All Researchers

    In the inaugural episode of the Decoding the Data Ecosystem: A CFDE Training Center Podcast, join Dr. Allissa Dillman as she engages in an enlightening conversation with Noël Burtt, the Principal Investigator for the CFDE Knowledge Center at the Broad Institute. With a background in molecular biology and human genetics, Noël brings a wealth of knowledge and insight into the broad applications of the CFDE. Together, they will explore the multifaceted strengths of the CFDE and discuss how researchers across various fields can effectively utilize the resources available to advance their work. This episode is a must-listen for anyone interested in harnessing the power of the CFDE to fuel their research endeavors, regardless of their focus area.

    Bio-Dr. Dillman

    Allissa Dillman, PhD, Training and Engagement Director for the CFDE Training Center, is the founder and CEO of BioData Sage LLC, a company focused on providing a holistic approach to data science integration in the biomedical and biological science fields.

    She works with clients in industry, academia, government, and the nonprofit sector to create and support training programs on bioinformatics, cloud computing, and the tools and standards for reproducible data science practices for scientific and lay communities. She also creates community events, such as hackathons, where broad communities work towards solving real biomedical data challenges.

    Dr. Dillman is a member of the adjunct faculty at Montgomery College and has over 10 years of experience working for the National Institutes of Health (NIH). Her work focuses on lowering the barriers of entry for data science and cloud computing. She received her PhD in computational neuroscience as part of the graduate partnership program between NIH and the Karolinska Institute, Sweden.

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    42 mins