4th Data-Driven Knowledge Discovery Symposium successfully held

12 20, 2023

   The 4th Data-Driven Knowledge Discovery Symposium was successfully held in Zhuhai from December 14th to 15th, 2023. The conference was jointly organized by National Science Library,  Chinese Academy of Sciences(NSLC) and Beijing Normal University. The theme of the conference was "Promoting Research Integrity: Direction, Data, Tools, and Approaches," and all stakeholders present at the conference signed a memorandum of research integrity. 

  The conference brought together over a hundred participants from different stages of the research chain, including scientists, editors, publishers, research administrators, industry associations, and third-party evaluation agencies. They collectively discussed new challenges and possible solutions for research integrity on a global scale. Keynote speeches focused on efforts in promoting research evaluation, building an open academic publishing ecosystem, and progress in strengthening research integrity education and alliance construction in various fields. The conference also included specialized workshops on academic publishing practices, editor perspectives, diverse viewpoints and practices, research integrity research, and research evaluation, addressing topics such as open science, research transparency and peer review, generative artificial intelligence, retraction database construction, and the paper mill.
  To deepen collective dialogue and collaboration among stakeholders in research integrity, the symposium organized panel discussions on "Global Perspectives on Research Integrity" and "New Challenges in Research Integrity."
  Based on the collective discussions, more than 20 institutions jointly signed a memorandum of understanding. The memorandum aims to support cross-regional research integrity collaboration and promote better research by formulating global standardized methods, organizing academic activities, conducting scientific research, and formulating policy recommendations.

 


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