Episode 2: Reproducibility and Training on the Elements of Style

Decoding the Data Ecosystem: A CFDE Training Center Podcast

Episode 2: Reproducibility and Training on the Elements of Style

Description

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.

Guest 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.

ABOUT THE PODCAST

Host Bio

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.

Why Listen?

Decoding the Data Ecosystem: A CFDE Training Center Podcast is more than just a podcast; it's a community for anyone passionate about the potential of omics research to solve complex biological puzzles and address pressing health challenges. Whether you're a seasoned researcher, a student just starting out, or simply curious about the future of biology, this podcast offers valuable insights, inspiring stories, and practical advice to guide your journey through the world of omics research training and education.

Availability

Find Decoding the Data Ecosystem on your favorite podcast platform, including Spotify, Apple Podcasts, Google Podcasts, and more. Subscribe today to stay updated with the latest episodes and join the conversation shaping the future of omics research training and education. This podcast is hosted by Oak Ridge Associated Universities (ORAU). Learn more at orau.org.

Links

• Contact the CFDE Training Center