Most scientific information by no means attain their full potential to drive new discoveries.
Out of each 100 datasets produced, about 80 keep throughout the lab, 20 are shared however seldom reused, fewer than two meet FAIR requirements, and just one usually results in new findings.
The results are vital: slower progress in most cancers therapy, local weather fashions that lack ample proof, and research that can not be replicated.
To vary this, the open-science writer Frontiers has launched Frontiers FAIR² Knowledge Administration, described because the world’s first complete, AI-powered analysis information service. It’s designed to make information each reusable and correctly credited by combining all important steps — curation, compliance checks, AI-ready formatting, peer overview, an interactive portal, certification, and everlasting internet hosting — into one seamless course of. The aim is to make sure that as we speak’s analysis investments translate into quicker advances in well being, sustainability, and expertise.
FAIR² builds on the FAIR rules (Findable, Accessible, Interoperable and Reusable) with an expanded open framework that ensures each dataset is AI-compatible and ethically reusable by each people and machines. The FAIR² Knowledge Administration system is the primary working implementation of this mannequin, arriving at a second when analysis output is rising quickly and synthetic intelligence is reshaping how discoveries are made. It turns high-level rules into actual, scalable infrastructure with measurable impression.
Dr. Kamila Markram, co-founder and CEO of Frontiers, explains:
“Ninety p.c of science vanishes into the void. With Frontiers FAIR² Knowledge Administration, no dataset and no discovery want ever be misplaced once more — each contribution can now gas progress, earn the credit score it deserves, and unleash science.”
AI on the Core
Work that after required months of handbook effort — from organizing and verifying datasets to producing metadata and publishable outputs — is now accomplished in minutes by the AI Knowledge Steward, powered by Senscience, the Frontiers enterprise behind FAIR².
Researchers who submit their information obtain 4 built-in outputs: an authorized Knowledge Package deal, a peer-reviewed and citable Knowledge Article, an Interactive Knowledge Portal that includes visualizations and AI chat, and a FAIR² Certificates. Every component consists of qc and clear summaries that make the info simpler to know for common customers and extra suitable throughout analysis disciplines.
Collectively, these outputs be certain that each dataset is preserved, validated, citable, and reusable, serving to speed up discovery whereas giving researchers correct recognition. Frontiers FAIR² additionally enhances visibility and accessibility, supporting accountable reuse by scientists, policymakers, practitioners, communities, and even AI techniques, permitting society to extract better worth from its funding in science.
Flagship Pilot Datasets
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SARS-CoV-2 Variant Properties — Protecting 3,800 spike protein variants, this dataset hyperlinks structural predictions from AlphaFold2 and ESMFold with ACE2 binding and expression information. It provides a strong useful resource for pandemic preparedness, enabling deeper understanding of variant habits and health.
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Preclinical Mind Damage MRI — A harmonized dataset of 343 diffusion MRI scans from 4 analysis facilities, standardized throughout protocols and aligned for comparability. It helps reproducible biomarker discovery, strong cross-site evaluation, and advances in preclinical traumatic mind damage analysis.
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Environmental Strain Indicators (1990-2050) — Combining noticed information and modeled forecasts throughout 43 nations over six a long time, this dataset tracks emissions, waste, inhabitants, and GDP. It underpins sustainability benchmarking and evidence-based local weather coverage planning.
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Indo-Pacific Atoll Biodiversity — Spanning 280 atolls throughout 5 areas, this dataset integrates biodiversity information, reef habitats, local weather indicators, and human-use histories. It offers an unprecedented foundation for ecological modeling, conservation prioritization, and cross-regional analysis on susceptible island ecosystems.
Researchers testing the pilots famous that Frontiers FAIR² not solely preserves and shares information but in addition builds confidence in its reuse — by way of high quality checks, clear summaries for non-specialists, and the reliability to mix datasets throughout disciplines, all whereas making certain scientists obtain credit score.
All pilot datasets adjust to the FAIR² Open Specification, making them responsibly curated, reusable, and trusted for long-term human and machine use so as we speak’s information can speed up tomorrow’s options to society’s most urgent challenges.
Recognition and Reuse
Every reuse multiplies the worth of the unique dataset, making certain that no discovery is wasted, each contribution can spark the following breakthrough, and researchers acquire recognition for his or her work.
Dr. Sean Hill, co-founder and CEO of Senscience, the Frontiers AI enterprise behind FAIR² Knowledge Administration, notes:
“Science invests billions producing information, however most of it’s misplaced — and researchers not often get credit score. With Frontiers FAIR², each dataset is cited, each scientist acknowledged — lastly rewarding the important work of knowledge creation. That is how cures, local weather options, and new applied sciences will attain society quicker — that is how we unleash science.”
What Researchers Are Saying
Dr. Ángel Borja, Principal Researcher, AZTI, Marine Analysis, Basque Analysis and Know-how Alliance (BRTA):
“I extremely [recommend using] this type of information curation and publication of articles, as a result of you may generate data in a short time and it is helpful formatting for any finish customers.”
Erik Schultes, Senior Researcher, Leiden Educational Centre for Drug Analysis (LACDR); FAIR Implementation Lead, GO FAIR Basis:
“Frontiers FAIR² captured the scientific elements of the mission completely.”
Femke Heddema, Researcher and Well being Knowledge Methods Innovation Supervisor, PharmAccess:
“Frontiers FAIR² makes the execution of FAIR rules smoother for researchers and digital well being implementers, proving that making datasets like MomCare reusable would not must be complicated. By enabling clear, accessible, and actionable information, Frontiers FAIR² opens the door to new alternatives in well being analysis.”
Dr. Neil Harris, Professor in Residence, Division of Neurosurgery, Mind Damage Analysis Middle, College of California, Los Angeles (UCLA):
“Implementation of [Frontiers] FAIR² can present an goal test on information for each missingness and high quality that’s helpful on so many ranges. Some of these unbiased assessments and information summaries can assist understanding by non-domain specialists to finally improve information sharing. As the sphere progresses to utilizing large information in additional disparate sub-disciplines, these information checks and summaries will develop into essential to sustaining a great grasp of how we’d use and mix the multitude of already acquired information inside our present analyses.”
Maryann Martone, Chief Editor, Open Knowledge Commons:
“[Frontiers] FAIR² is likely one of the best and best methods to make information FAIR. Each PI needs their information to be findable, accessible, comparable, and reusable — within the lab, with collaborators, and throughout the scientific group. The actual bottleneck has at all times been the effort and time required. [Frontiers] FAIR² dramatically lowers that barrier, placing actually FAIR information inside attain for many labs.”
Dr. Vincent Woon Kok Sin, Assistant Professor, Carbon Neutrality and Local weather Change Thrust, Society Hub, The Hong Kong College of Science and Know-how (HKUST):
“[Frontiers] FAIR² makes our world waste dataset extra seen and accessible, serving to researchers worldwide who usually wrestle with scarce and fragmented information. I hope this may broaden collaboration and speed up insights for sustainable waste administration.”
Dr. Sebastian Steibl, Postdoctoral Researcher, Naturalis Biodiversity Middle and the College of Auckland:
“True information accessibility goes past simply importing datasheets to a repository. It means making information simple to view, discover, and perceive with out essentially requiring years of coaching. The [Frontiers] FAIR² platform, with an AI chatbot and interactive visible information exploration and abstract instruments, makes our biodiversity and environmental information broadly accessible and usable not simply to students, but in addition practitioners, policymakers, and area people initiatives.”
