Crowdsourcing in medical research: theory and practice
- Published
- Accepted
- Subject Areas
- Global Health, Health Policy, Infectious Diseases, Internal Medicine, Human-Computer Interaction
- Keywords
- crowdsourcing, theory, literature review, collective intelligence, open source model
- Copyright
- © 2018 Tucker et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Crowdsourcing in medical research: theory and practice. PeerJ Preprints 6:e27331v1 https://doi.org/10.7287/peerj.preprints.27331v1
Abstract
The field of crowdsourcing for medicine has substantially expanded. We define crowdsourcing as an organization having a large group attempt to solve community problem, then share the solution with the broader public. Large groups of individuals can participate in medical research through open contests, hackathons, and related activities. The purpose of this literature review is to examine the definition, theory, and practice of crowdsourcing in medicine in order to facilitate crowdsourcing research. This multi-disciplinary review defines crowdsourcing for health, identifies theoretical antecedents (collective intelligence and open source models), and explores implications of the approach. Several critiques of crowdsourcing are also examined. Although several crowdsourcing definitions exist, there are two essential elements: (1) having a large group of individuals, including experts and non-experts, propose potential solutions; (2) sharing solutions with the public through implementation or open access materials. The public can be a central force in framing a common problem and developing feasible and compelling solutions. Crowdsourcing is related to, but distinct from other participatory research approaches. Crowdsourcing can be a useful for informing medical research, programs, and policy. A growing evidence base suggests that crowdsourcing in medicine can result in high-quality outcomes, broad community engagement, and more open science.
Author Comment
This is a submission to PeerJ for review.