
TechRxiv
A preprint server for health sciences.

The pioneer in open, post-publication peer review and transparent scholarly publishing.

F1000Research is a leading open research publishing platform that leverages a unique post-publication peer review model to accelerate the dissemination of scientific knowledge. Unlike traditional scholarly journals, F1000Research publishes articles immediately following a rigorous pre-publication sanity check, allowing the global research community to access findings without the delays of conventional editorial cycles. As of 2026, the platform has matured its technical stack to include AI-driven metadata enrichment and automated compliance validation for FAIR (Findable, Accessible, Interoperable, and Reusable) data standards. The technical architecture supports a versioning system that treats research as a living document, enabling authors to update their findings in response to reviewer feedback and new data. This transparent approach ensures that all reviewer comments, author responses, and previous versions are permanently archived and citable. F1000Research is part of Taylor & Francis and is widely recognized for its high-integrity standards, mandated open data policies, and integration with major scholarly indexes including PubMed, Scopus, and Google Scholar. It serves as a critical infrastructure for researchers who prioritize transparency, reproducibility, and speed in the scholarly communication lifecycle.
F1000Research is a leading open research publishing platform that leverages a unique post-publication peer review model to accelerate the dissemination of scientific knowledge.
Explore all tools that specialize in automate compliance checks. This domain focus ensures F1000Research delivers optimized results for this specific requirement.
Explore all tools that specialize in peer review. This domain focus ensures F1000Research delivers optimized results for this specific requirement.
Uses a persistent DOI system where each revision receives a new version suffix, maintaining a clear lineage of scientific evolution.
Enforces a policy where all source data must be hosted in external, citable repositories and linked via the Data Availability Statement.
Reviewer identities and their full reports are published alongside the article, linked via unique DOIs.
Uses AI to extract and tag entities like chemicals, genes, and proteins within the text for better discoverability.
Algorithmic matching of manuscript keywords against a global database of expert profiles and publication history.
Real-time monitoring of social media mentions, news coverage, and policy document citations.
Supports Plotly and other interactive visualization embeds directly within the HTML article view.
Create an account using an institutional email or ORCID iD.
Prepare the manuscript following the specific Article Type guidelines (e.g., Research Article, Method Article, Data Note).
Ensure all underlying raw data is deposited in a recognized open repository (e.g., Figshare, Zenodo).
Upload the manuscript file and provide metadata including funding and conflict of interest statements.
Pass the internal pre-publication quality check focused on ethics, plagiarism, and data availability.
Article is published online with a DOI, clearly marked as 'Awaiting Peer Review'.
Suggest at least five potential peer reviewers who meet the platform's expertise and neutrality criteria.
Reviewers provide open reports and status marks (Approved, Approved with Reservations, or Not Approved).
Respond to reviewer comments and upload revised versions (v2, v3) as necessary.
Once peer review requirements are met (e.g., two 'Approved' ratings), the article is sent to major indexes like PubMed.
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A preprint server for health sciences.

Connect your AI agents to the web with real-time search, extraction, and web crawling through a single, secure API.

A large conversational telephone speech corpus for speech recognition and speaker identification research.

STRING is a database of known and predicted protein-protein interactions.

A free and open-source software package for the analysis of brain imaging data sequences.

Complete statistical software for data science with powerful statistics, visualization, data manipulation, and automated reporting in one intuitive platform.