Listen to this episode here: https://blubrry.com/oraufurthertogether/149077647/decoding-the-data-ecosystem-how-orau-is-helping-accelerate-discovery-in-omics-research/Because of our strong capabilities in training and technical assistance, ORAU was contracted by the National Institutes of Health to develop a state-of-the-art training center for users of the Common Fund Data Ecosystem. This ecosystem is an infrastructure to make data from the NIH’s various programs easier to access with the aim of facilitating improved discovery, reuse, integration, and analyses of these datasets to form novel hypothesis for accelerating discoveries in biomedical research. In this episode of Further Together, Allissa Dillman, Ph.D., co-principal investigator and owner of BioData Sage LLC, and Jennifer Burnette, ORAU project director, talk to host Michael Holtz about the importance of the CFDE Training Center and how it can help researchers mine data for omics research of various kinds.Dillman also hosts the Decoding the Data Ecosystem Podcast, which dives deep into unraveling the complexities and exploring the depths of omics data. The podcast can be found here: https://blubrry.com/3847772/Check out the Common Fund Data Ecosystem Training Center here: https://orau.org/cfde-trainingcenter/index.htmlFind the Common Fund Data Ecosystem here: https://commonfund.nih.gov/dataecosystem

Decoding the Data Ecosystem: A CFDE Training Center PodcastPodcast 09: MoTrPAC and the Science of FitnessDescriptionIn this episode, Allissa Dillman chats with researchers Malene Lindholm and Dan Katz about their work on MoTrPAC. Malene has a 20-year background in molecular exercise physiology and Dan started his medical training in cardiology and now uses high-dimensional data to understand heart failure. MoTrPAC (Molecular Transducers of Physical Activity Consortium) is a NIH-funded initiative studying exercise effects across multiple sites in the US using both human and animal studies. Dan and Malene explain what the dataset is all about, including what data is collected, from where, and the kinds of raw and pre-processed data available. They also describe how it can be accessed through various user-friendly tools for scientists of all technical abilities. Find out more at https://motrpac-data.org/ (https://motrpac-data.org/) and contact them with questions at motrpac-helpdesk@lists.stanford.edu (mailto:motrpac-helpdesk@lists.stanford.edu). GuestsMalene Lindholm and Dan KatzGuest BioDaniel Katz, MD, is an Assistant Professor of Medicine in the Stanford Center for Biomedical Informatics Research (BMIR) and the Cardiovascular Medicine Divisions. He practices as an Advanced Heart Failure and Transplant Cardiologist. He completed internal medicine residency at Massachusetts General Hospital, general cardiology training at Beth Israel Deaconess Medical Center, and joined Stanford in 2021 for his advanced heart failure training. His research focuses on identifying the various pathophysiological patterns and mechanisms that lead to the heterogeneous syndrome of heart failure. His efforts leverage high dimensional data in many forms including clinical phenotypes, plasma proteomics, metabolomics, and genetics. He is presently engaged in analysis of multi-omics data from MoTrPAC, and the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. Malene Lindholm, PhD, is a senior research engineer and Director of the Human Molecular Athlete Moonshot for the Wu Tsai Human Performance Alliance at Stanford University. After earning her PhD in Medicine at the Karolinska Institute in Sweden, she performed her postdoctoral studies at the Cardiovascular Institute at Stanford University. Her current research focuses on unraveling the multi-omics adaptation mechanisms to exercise across tissues and the genetic basis of extreme human performance. The ultimate objective is to transform the findings into tangible application in the field of precision exercise health and medicine.ABOUT THE PODCASTHost BioAllissa 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?

DescriptionIn this episode, Allissa Dillman interviews Seth Burke about his educational journey from pre-med to genomics, and the importance of public datasets and cloud computing in scientific research. Seth highlights the value of, and opportunities provided by the Common Fund Data Ecosystem for early career researchers, shares insights on integrating multiple types of biomedical data, and offers advice for students interested in the field of genomics. Seth’s recent publication referenced in the podcast can be found here: Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines (https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpubmed.ncbi.nlm.nih.gov%2F40601758%2F&data=05%7C02%7CKristi.Sadowski%40orau.org%7Cb43211ebe6464f3a052108ddbf26dafb%7C64c12663ddf34823aa6836a6247905ab%7C0%7C0%7C638876895928516213%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=%2BEDlcfdgKHOVVE5G%2FhQP0B4IsrG%2B7hEWkr0rszKCuw0%3D&reserved=0).GuestSeth BerkeGuest BioSeth Berke is a graduate of Johns Hopkins University with a B.S. in Molecular and Cellular Biology and an incoming Ph.D. student in Quantitative and Computational Biology at Princeton. His undergraduate research focused on leveraging biomedical cloud platforms to analyze large-scale pediatric genomics data, work that led to presentations at several international conferences and recent manuscript acceptances in leading journals. He currently works as a Research Assistant at the Johns Hopkins Bloomberg School of Public Health, contributing to the NIH Acute to Chronic Pain Signatures Consortium by integrating and analyzing multimodal data. Seth aims to advance precision health by uniting data across biopsychosocial domains to improve the prediction and treatment of complex disease phenotypes.

Decoding the Data Ecosystem: A CFDE Training Center PodcastPodcast 06: Integrating Biomedical Knowledge at Scale with PetagraphDescriptionIn this episode, Allissa Dillman and Ben Stear discuss knowledge graphs and why they are useful. Tune in as they explore how these tools integrate vast and diverse datasets into unified, queryable networks that support discovery and predictive modeling. Ben shares how knowledge graphs like Petagraph are advancing FAIR data principles, enabling new research insights, and laying the foundation for future integration with large language models.More information on Petagraph can be found on the project GitHub (https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FTaylorResearchLab%2FPetagraph&data=05%7C02%7CKristi.Sadowski%40orau.org%7C819fcae0465d42e348d308dda37f0c50%7C64c12663ddf34823aa6836a6247905ab%7C0%7C0%7C638846488271634320%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=xQsRhS93J9DmX9kkdJ6w%2F5DtiRxXXYajDPWZuWP9Eiw%3D&reserved=0) or in the recently published article: Petagraph: a large-scale unifying knowledge graph framework for integrating biomolecular and biomedical data (https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41597-024-04070-w.epdf%3Fsharing_token%3DUQerJP5YML8DxhbY9GaUYtRgN0jAjWel9jnR3ZoTv0PkXHpxmPZkHbO1sgq-_LHO4lkeuHr7LE-wXgKdFqGADExjUL4PnVM6Fn9uTgsq9pw3ac4G9z6uQG4oSYPCwTgW-D3s59nnKTAU6u9IWuWiTxJtuM1_CG7Buca0uQasBFI%253D&data=05%7C02%7CKristi.Sadowski%40orau.org%7C819fcae0465d42e348d308dda37f0c50%7C64c12663ddf34823aa6836a6247905ab%7C0%7C0%7C638846488271660316%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=01em7SdTsdaSmyxLL6hBaxUjhcOrn4eRrHLeyof%2BRKA%3D&reserved=0).  Guest BioBen Stear is a bioinformatics scientist at Children’s Hospital of Philadelphia. His recent work has focused on large data integration and analysis using graphs. He is also working on a PhD at Drexel University focusing on how to detect pleiotropy using graph machine learning and graph analysis.ABOUT THE PODCASTHost BioAllissa 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,

Decoding the Data Ecosystem: A CFDE Training Center PodcastPodcast 05: Bio-IT World Hackathon Final PresentationsDescriptionThe CFDE Training Center was a sponsor of the Bio-IT World Hackathon, held April 1 – 2, 2025. The event was facilitated by Dr. Allissa Dillman from CFDE Training Center. The event focused on Open Source and FAIR Data (Findable, Accessible, Interoperable, Reusable) principles, and an emphasis was placed on projects leveraging omics data and integrating CFDE tools, with a goal of improving interoperability across datasets to accelerate discoveries.Data scientists, developers, and life science professionals collaborated on five projects to tackle real-world challenges using data from GlyGen, IDG, HuBMAP, MoTrPAC, and tools from CFDE.This episode will consist of clips from various presentations from the hackathon.ABOUT THE PODCASTHost BioAllissa 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.AvailabilityFind 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 (https://orau.org/).Links• Contact the CFDE Training Center (cfde-trainingcenter@orau.org)

Decoding the Data Ecosystem: A CFDE Training Center PodcastEpisode 4: How the Data Resource Center Uses the FAIR Principles to Increase Accessibility and InteroperabilityDescription...

Decoding the Data Ecosystem: A CFDE Training Center PodcastEpisode 3: Navigating the Common Fund Data Ecosystem’s Data & Resources to Empower Scientific DiscoveriesDescriptionThis 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 BioJennifer 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.ABOUT THE PODCASTHost BioAllissa 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.AvailabilityFind 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 (https://orau.org/).Links* View (https://www.youtube.com/watch?v=rgW-PRhR3RE) the full presentation* Contact the CFDE Training Center (mailto:cfde-trainingcenter@orau.org)

Decoding the Data Ecosystem: A CFDE Training Center PodcastEpisode 2: Reproducibility and Training on the Elements of StyleDescriptionJoin Dr. Allissa Dillman and guest Dr. Anne Deslattes Mays, creator of the Kids First & INCLUDE Elements of Style in Workflow Creation (https://nih-nichd.github.io/) 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 BioAnne 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 PODCASTHost BioAllissa 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.AvailabilityFind 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 (https://orau.org/).Links* Contact the CFDE Training Center (mailto:cfde-trainingcenter@orau.org)

Decoding the Data Ecosystem: A CFDE Training Center PodcastEpisode 1: Unveiling the Strengths of the CFDE: A Resource for All ResearchersDescriptionIn 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.Guest BioNoël Burtt is the director of operations and development of the Diabetes Research & Knowledge Portals in the Medical and Population Genetics Program and Metabolism Program at the Broad Institute. Her work centers on the operational and organizational leadership of large-scale, international genetics consortia and public/private partnerships for human genetics studies. She has worked to facilitate data deposition and shape the ethos of the Knowledge Portals for the consortium and the larger community of common disease researchers. She has also managed two public-private partnerships with Novartis and Pfizer as part of the effort to use human genetics to develop better therapies for diabetes. Trained in molecular biology and human genetics, she received her B.S. from the University of New Hampshire.ABOUT THE PODCASTHost BioAllissa 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.AvailabilityFind 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.