BioSingularity. The substrate determines the ceiling
Biology becoming computationally tractable depends less on model size than on the data substrate underneath. The ceiling is infrastructure.
Topic
Open Data
Research data in the open: how it gets shared, cited and reused, and what separates data that is merely deposited from data that is useful.
OpenScience.ai: Using Open Data to Generate Research That Doesn't Yet Exist
What claims are already latent in ClinVar, GTEx, STRING and Open Targets that nobody has written up yet? OpenScience.ai explores that gap.
Moving from "share data because you should" to "share data because you'll get something back."
Allen AI's AutoDiscovery generated its own hypotheses from an open dataset. That return on sharing is exactly why I founded Figshare.
Machine-First FAIR: Realigning Academic Data for the AI Research Revolution
FAIR treats humans and machines as equal priorities. It should not. Prioritising machines is the faster route to human benefit.
The Perpetual Research Cycle: AI's Journey Through Data, Papers, and Knowledge
Testing ChatGPT, Gemini and Claude at turning datasets into papers, and what a genuinely self-feeding research cycle would require.
How is every country/funder/ institution doing at data sharing?
An interactive app joining the Data Citation Corpus to Dimensions, ranking countries, funders and institutions on how well they link data.
DataCite DOI prevalence in the published literature by country
Combining the Make Data Count Citation Corpus with Dimensions to see which countries actually link to datasets from their published papers.
Are we ready to start rewarding researchers for Open data?
The State of Open Data 2024 pairs what researchers say with what they do, using Dimensions, data availability statements and the Citation Corpus.
The Data Citation Corpus - tracking NIH funded open academic data
Joining the Wellcome-funded Data Citation Corpus to Dimensions to track how well the NIH open data policy is actually working in practice.
Who benefits when, from FAIR data? Part 3 - The Public
Part 3: the public fund research through taxes but cannot read most of it. What open academic data owes the people paying for it.