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Open data in drug discovery and development: lessons from malaria.

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The malaria research community uses open data, including open science and open access, to accelerate new medicine development. These open data principles can be applied to other diseases.

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Area of Science:

  • Drug discovery
  • Malaria research
  • Open data science

Background:

  • A growing consensus supports open environments for drug discovery.
  • The malaria research community has adopted multiple open data strategies.

Purpose of the Study:

  • To describe the malaria community's use of open data.
  • To explore applying open data principles to other disease areas.

Main Methods:

  • Review of open data implementation in malaria drug discovery.
  • Analysis of four levels of open data: open science, open innovation, open access, and open source.

Main Results:

  • The malaria community has successfully utilized open data to speed up the development of new medicines.
  • Demonstrated success of open data in catalyzing drug discovery.

Conclusions:

  • Open data approaches, exemplified by the malaria community, are effective in accelerating drug discovery.
  • Principles of open data can be generalized to other therapeutic areas to foster innovation.