Reproducibility, from abstract to context — A conversation with Emma Ganley and Robin Padilla cover art

Reproducibility, from abstract to context — A conversation with Emma Ganley and Robin Padilla

Reproducibility, from abstract to context — A conversation with Emma Ganley and Robin Padilla

Written by: Springer Nature
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Reproducibility is fundamental to building research that can be trusted over time. As part of The Link’s ongoing focus on reproducibility, digital labs and interoperable workflows, this two‑part podcast series brings together Emma Ganley, Director of Strategic Initiatives at protocols.io, and Robin Padilla, Director of Product Management at Springer Nature’s Digital Life Science Solutions. Across both episodes, they explore the reproducibility ecosystem, from high‑level principles through to real‑world application.

They take a closer look at what it takes to make reproducibility work in practice, from the cultural shifts and digital foundations that enable it, to the workflows and transparency that help embed it into everyday research. Along the way, they touch on FAIR data, digital tools, documentation practices and how collaboration and incentives shape progress across the research ecosystem.

Across both episodes, the conversation paints a clearer picture of where reproducibility is heading, less as an abstract ideal, and more as something that is actively being built into systems, practices and day‑to‑day ways of working.

Hosted on Acast. See acast.com/privacy for more information.

Springer Nature Biological Sciences Science
Episodes
  • Reproducibility in R&D building trust and digital foundations

    Reproducibility in R&D building trust and digital foundations
    May 28 2026

    In this episode, Ganley and Padilla reflect on the cultural shifts required to ensure that reproducibility becomes the expectation rather than the exception in science. They discuss the role of digital tools and FAIR (Findable, Accessible, Interoperable, Reusable) principles, share perspectives on the opportunities and limitations of AI, and explore what it will take to shape a more connected and reliable research ecosystem for the future.

    Below, we’ve curated some of the key insights from this first episode. You can listen to the full podcast conversation down below. This conversation highlights:

    • Why reproducibility underpins trust across partnerships, regulation and translation
    • How digital tools and standardised workflows reduce risk, error and inefficiency at scale
    • What FAIR and AI‑ready data foundations mean for future‑proofing research

    Hosted on Acast. See acast.com/privacy for more information.
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    10 mins
  • Transparency in R&D and reproducible research in practice

    Transparency in R&D and reproducible research in practice
    May 28 2026

    As discussed in the first episode in this two‑part podcast series, building reproducibility at scale starts with strong cultural and digital foundations. In this second episode, our expert guests, Emma Ganley and Robin Padilla, shift the focus to what that looks like in practice, with a particular emphasis on transparency. They explore practical ways to improve transparency and how documentation, digital tools, publishing practices and incentives come together to support reproducible research in real‑world settings, including:


    • Document methods as research evolves, maintaining continuity from experiment through to publication.
    • Treat methods like a recipe, with enough clarity and specificity for others to follow the process exactly.
    • Build consistent habits that capture changes, decisions, and variations, preserving the context behind results.

    Hosted on Acast. See acast.com/privacy for more information.
    Show More Show Less
    10 mins
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