The FAIR² Chronicles: Data stories for an AI world

Waste is often reported as a management problem. Emissions are reported as a climate problem. This episode is about what happens when those two are finally treated as the same system . We dive into the Frontiers Planet Prize National Champion-Awarded Global Waste Sector Dataset (1990–2050) , a harmonized resource spanning historical data through mid-century projections that explicitly links munici...

If you work in ecology, conservation, island biogeography, or environmental data—and you’ve ever struggled to connect biodiversity, climate, oceanography, and human history across small islands—this episode is for you. We take a deep dive into a landmark effort to harmonize data for all 310 Indo-Pacific atolls with permanent emergent land , transforming decades of scattered literature, field surve...

If you work in neuroimaging, neurotrauma, or computational neuroscience—and especially if you’ve ever wished for a truly comparable, cross-lab view of traumatic brain injury—this episode is for you. We dig into a remarkable new FAIR² dataset from the TOP-NT consortium: the first harmonized, multi-site diffusion MRI resource for preclinical TBI. It brings together 343 high-resolution scans from 184...

If you work anywhere near virology, structural biology, or computational genomics—and especially if you’ve ever wished for a true map of the SARS-CoV-2 spike protein’s mutational landscape—this episode and the new FAIR² Data Article from the Stay Ahead Project is for you. We’re diving into the Stay Ahead Project’s latest data release: a thoroughly curated, structure-informed resource focused on th...

Science is accelerating. We’re publishing more papers and generating more data than ever before. But much of that knowledge—however valuable—goes unread, unexamined, and ultimately unused. In this AI-narrated episode, we explore a growing tension at the heart of modern research: a system built to produce knowledge is now struggling to process it. Scientists are overwhelmed, attention is scarce, an...

Have you ever been excited to use an open dataset, only to find yourself lost in a maze of cryptic files, missing context, and dead-end links? You’re not alone. In this episode, we unpack why so much “open data” still isn’t truly reusable—and why that matters for science, machine learning, and policy alike. Join us as we explore how FAIR² Data Portals are raising the bar, transforming messy spread...

We often hear about making AI responsible—but what if the real problem isn’t the model? What if it starts much earlier, with the data we feed into it? In this episode, we unpack the hidden assumptions baked into the way data is measured, labeled, and used. We explore why objectivity in data is often a myth—and why designing for subjectivity is essential for building trustworthy AI. From mental hea...

In a world shaped by constant change, memory is fragile — and preservation is never automatic. Inspired by a visit to the Qianlong Stone Steles in Beijing, this episode reflects on how civilizations have fought against impermanence by choosing what must endure. Today, as our knowledge increasingly rests on unstable digital foundations, we face the same challenge: Preservation is not a given; it is...

What does it really take to make data usable—not just technically FAIR, but truly findable, accessible, interoperable, and reusable in the ways science needs today? In this episode of The FAIR² Chronicles , we explore the frustrating reality of pseudo-FAIR data and the critical gap between aspiration and implementation. We introduce FAIR² as a powerful framework that embeds context, clarity, and c...

In this episode, we dig into the often-overlooked cornerstone of scientific progress: reproducibility . It’s not flashy, but it’s fundamental. Without it, science loses its grounding—and so does our ability to trust and build upon results. We explore how FAIR² Data Management is reshaping the way researchers handle, document, and share their data. From clear variable descriptions and transparent p...

Every day, researchers generate valuable datasets. But many of them never get shared—let alone reused. Why? Because data sharing still feels hard: confusing formats, missing documentation, and no clear roadmap. For many, it’s not part of their training. It’s just another overwhelming task. In this episode, we unpack the very real barriers to sharing research data—and introduce a way forward. FAIR²...

In this episode, we explore a growing opportunity for researchers: turning their datasets into recognized, reusable, and citable scientific contributions. Too often, datasets sit unused—buried in supplemental materials or left unpublished entirely. But what if those datasets could become a first-class research output in their own right? Enter the FAIR² Data Article , a new article type from Fronti...

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit senscience.substack.com

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit senscience.substack.com