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Public Beta

A shared evidence layer for scientific review and synthesis.

Ready...Set...Evidence™ is a collaborative evidence commons where researchers can add literature, structure study populations and outcomes, contribute independent appraisals, examine competing interpretations, and build reproducible syntheses from evidence that can be reused instead of repeatedly extracted from scratch.

Evidence should be reusable

Scientific reviews repeatedly identify, extract, appraise, and restructure the same literature. Ready...Set...Evidence is designed around a different premise: preserve those contributions as reusable scientific building blocks.

Shared Literature

Create canonical literature records using DOI and publication metadata, helping reduce duplicate records while building a common library that can support many future reviews.

Structured Evidence

Represent study groups, subgroups, interventions, populations, characteristics, endpoints, and other evidence attributes as structured information instead of burying them in spreadsheets.

Collaborative Extraction

Add endpoint data, confirm existing extractions, challenge interpretations, and preserve competing proposals rather than silently overwriting scientific disagreement.

Independent Appraisal

Appraise studies using established frameworks or the RSE Custom Appraisal, with contributor-level assessments preserved rather than collapsed into an unexplained quality label.

Reusable Synthesis

Filter evidence by structured facets, select appraisal approaches, and synthesize relevant outcomes using conventional statistical methods or the Random Appraisal-Weighted Method.

Reproducible Reviews

Build reviews from shared evidence while preserving search strategies, inclusion decisions, selected evidence versions, and the provenance needed to understand how conclusions were reached.

From publication to reusable evidence

The platform separates the scientific publication from the structured evidence contributed around it, allowing the same underlying evidence to support multiple questions and reviews.

Paper Study Group Structured Facets Endpoint Extraction Appraisal Synthesis Review

Built around scientific provenance

Collaboration is more useful when the origin of each contribution remains visible.

Consensus without erasing disagreement

Multiple contributors may interpret the same evidence differently. Ready...Set...Evidence is designed to preserve those interpretations, confirmations, challenges, revisions, and contributor attribution.

Public evidence, private collaboration

Public evidence can contribute to the broader Commons, while researchers and organizations can also work with private or organization-scoped evidence when confidentiality or internal workflows require it.

Research identity

Contributor profiles connect evidence work to identifiable researchers, with ORCID integration intended to support verified scientific identity and authorship relationships.

Living and frozen evidence

Live evidence views can evolve as the Commons changes, while published reviews can preserve the exact evidence versions used at a specific point in time.

Beta

The Evidence Commons is now in active beta

Ready...Set...Evidence is being developed in public as the evidence model, contribution workflows, appraisal systems, synthesis tools, and collaborative governance continue to mature. The beta is intended for real use while also giving early contributors an opportunity to help shape how the platform develops.

Available in the Beta

  • Public researcher profiles and organizations
  • DOI-based literature import
  • Structured study groups and reusable evidence facets
  • Endpoint extraction and competing evidence proposals
  • Study appraisal frameworks
  • Evidence synthesis and forest plots
  • Random Appraisal-Weighted synthesis1
  • Review workspaces and living evidence views

What Beta Means

  • Workflows and terminology will continue to evolve
  • New evidence types and appraisal frameworks will be added
  • Community governance and moderation systems are still developing
  • Feedback from researchers and evidence users directly informs development priorities
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