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[Crowdsourcing is a new method for generating data for scientific research]
Josefine Stokholm Bækgaard1, Peter Hallas
1Øster Voldgade 20, 1350 København K. kqs486@alumni.ku.dk;
Ugeskrift for Laeger
|January 6, 2015
Summary
Crowdsourcing (CS) offers a rapid, low-cost, and geographically independent approach to scientific research by leveraging online collaboration. While valuable in medicine, standardized reporting and evidence rating for CS studies are still needed.
Area of Science:
- Medical research methodology
- Digital health
- Collaborative science
Context:
- Crowdsourcing (CS) is an emerging research method utilizing large online groups for data generation and problem-solving.
- Current medical applications include disease surveillance and rare condition diagnosis.
- CS offers speed, cost-effectiveness, and geographical independence compared to traditional methods.
Purpose:
- To introduce crowdsourcing as a novel scientific research methodology.
- To highlight the benefits and current applications of crowdsourcing in medicine.
- To identify the need for standardized reporting and evidence integration of crowdsourcing studies.
Summary:
- Crowdsourcing involves large-scale online collaboration for scientific inquiry.
- It provides rapid, low-cost, and geographically flexible data collection and analysis.
- Medical uses range from public health surveillance to diagnosing rare diseases.
Impact:
- Crowdsourcing presents a scalable and efficient alternative to traditional research designs.
- Standardization is required to integrate crowdsourcing into established evidence-based practices.
- Further development is needed for its formal recognition in scientific evaluation frameworks.
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