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Open science practices like data sharing need wider adoption. Creating a transparent research ecosystem from the start enhances rigor and collaboration for improved scientific outcomes.

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Area of Science:

  • Open Science
  • Research Integrity
  • Scientific Collaboration

Background:

  • Despite mainstream discussion, open science practices, including data sharing, are not yet widespread.
  • Current efforts require scaling up to achieve a more ambitious vision of openness.

Purpose of the Study:

  • To provide an overview of open science initiatives over the past two decades.
  • To explore the future trajectory of open science.
  • To offer recommendations for fostering an open science environment.

Main Methods:

  • Review of open science initiatives focusing on methods transparency, scholarly communication, team science, and research culture.
  • Analysis of trends and future possibilities in open science.

Main Results:

  • Identification of key open science initiatives and their impact.
  • Speculation on the future landscape of open science practices.

Conclusions:

  • An open science ecosystem requires transparency throughout the research process, not just in outputs.
  • Stakeholders including funders, institutions, and journals must collaborate to create a supportive environment for open science.