Welcome to MetaCensus
MetaCensus is an innovative open-access project revolutionizing scientific publications' peer-review and meta-analysis processes. Built on a blockchain network to ensure transparency and inclusivity, MetaCensus allows anyone to submit and review scientific papers, fostering a trustworthy, transparent, and collaborative environment. Through a structured system of roles, from public observers to voting review members to topic managers, the platform enables comprehensive meta-analyses by aggregating and scrutinizing all related research. MetaCensus aims to enhance the reliability of research, democratize the review process, and catalyze scientific consensus.
Who Participates
We invite a wide variety of participants to contribute to the mission behind MetaCensus- to enhance the reliability of research, democratize the review process, and catalyze scientific consensus. Whether a health scientist, clinician, biostatistician, behavioral economist, physicist, scientific guideline author, insurer, regulatory reviewer, scientific journal editor, or scientific enthusiast, MetaCensus was built to empower you. We advocate for participation from as many relevant stakeholders as possible.
Our Leaders
MetaCensus was founded by a small group of passionate minds, mostly under volunteer efforts. Where funding was required, ARUP Laboratories funded those development efforts. ARUP Laboratories does not own, control, influence, or hold a direct stake in the existence, autonomy, or focus of MetaCensus. ARUP Laboratories (and any other organization that relies on scientific consensus to support their efforts) does, however, stand to benefit from MetaCensus. Below are links to the founding members behind MetaCensus.
How to Use MetaCensus
MetaCensus has numerous functions. At its core, it is a tool for systematic reviews, meta-analyses, and consensus statements that reflect the current overall interpretation of the evidence, its limitations, and what investigation needs to be prioritized next to elucidate further what is known on a scientific topic.