Most scientific knowledge 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 important: slower progress in most cancers therapy, local weather fashions that lack adequate proof, and research that can’t be replicated.
To alter this, the open-science writer Frontiers has launched Frontiers FAIR² Knowledge Administration, described because the world’s first complete, AI-powered analysis knowledge service. It’s designed to make knowledge each reusable and correctly credited by combining all important steps — curation, compliance checks, AI-ready formatting, peer evaluate, 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 ideas (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 ideas into actual, scalable infrastructure with measurable influence.
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 gasoline progress, earn the credit score it deserves, and unleash science.”
AI on the Core
Work that when required months of guide 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 knowledge obtain 4 built-in outputs: a licensed 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 factor consists of qc and clear summaries that make the information simpler to know for common customers and extra appropriate throughout analysis disciplines.
Collectively, these outputs make sure 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 methods, permitting society to extract higher worth from its funding in science.
Flagship Pilot Datasets
-
SARS-CoV-2 Variant Properties — Overlaying 3,800 spike protein variants, this dataset hyperlinks structural predictions from AlphaFold2 and ESMFold with ACE2 binding and expression knowledge. It gives a robust useful resource for pandemic preparedness, enabling deeper understanding of variant habits and health.
-
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, sturdy cross-site evaluation, and advances in preclinical traumatic mind harm analysis.
-
Environmental Strain Indicators (1990-2050) — Combining noticed knowledge and modeled forecasts throughout 43 international locations over six many years, this dataset tracks emissions, waste, inhabitants, and GDP. It underpins sustainability benchmarking and evidence-based local weather coverage planning.
-
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 gives an unprecedented foundation for ecological modeling, conservation prioritization, and cross-regional analysis on weak island ecosystems.
Researchers testing the pilots famous that Frontiers FAIR² not solely preserves and shares knowledge but additionally builds confidence in its reuse — by 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 knowledge 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 subsequent breakthrough, and researchers achieve 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 knowledge, 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 Expertise Alliance (BRTA):
“I extremely [recommend using] this sort of knowledge curation and publication of articles, as a result of you’ll be able to generate info 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 facets of the undertaking completely.”
Femke Heddema, Researcher and Well being Knowledge Techniques Innovation Supervisor, PharmAccess:
“Frontiers FAIR² makes the execution of FAIR ideas smoother for researchers and digital well being implementers, proving that making datasets like MomCare reusable would not need to be complicated. By enabling clear, accessible, and actionable knowledge, 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 knowledge for each missingness and high quality that’s helpful on so many ranges. These kind of unbiased assessments and knowledge summaries can help understanding by non-domain specialists to in the end improve knowledge sharing. As the sector progresses to utilizing huge knowledge in additional disparate sub-disciplines, these knowledge checks and summaries will turn into essential to sustaining a great grasp of how we’d use and mix the multitude of already acquired knowledge inside our present analyses.”
Maryann Martone, Chief Editor, Open Knowledge Commons:
“[Frontiers] FAIR² is among the best and best methods to make knowledge FAIR. Each PI desires their knowledge to be findable, accessible, comparable, and reusable — within the lab, with collaborators, and throughout the scientific group. The actual bottleneck has all the time been the effort and time required. [Frontiers] FAIR² dramatically lowers that barrier, placing really FAIR knowledge 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 Expertise (HKUST):
“[Frontiers] FAIR² makes our world waste dataset extra seen and accessible, serving to researchers worldwide who typically wrestle with scarce and fragmented knowledge. I hope this can broaden collaboration and speed up insights for sustainable waste administration.”
Dr. Sebastian Steibl, Postdoctoral Researcher, Naturalis Biodiversity Middle and the College of Auckland:
“True knowledge accessibility goes past simply importing datasheets to a repository. It means making knowledge straightforward to view, discover, and perceive with out essentially requiring years of coaching. The [Frontiers] FAIR² platform, with an AI chatbot and interactive visible knowledge exploration and abstract instruments, makes our biodiversity and environmental knowledge broadly accessible and usable not simply to students, but additionally practitioners, policymakers, and area people initiatives.”
