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Perspectives on Open Science and scientific data sharing:an interdisciplinary workshop.

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An interdisciplinary workshop explored Open Science and Open Data, emphasizing dialogue across scientific domains. Key discussions focused on common frameworks, scientific practices, genomics data sharing challenges, and public engagement with open science principles.

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Area of Science:

  • Interdisciplinary studies
  • Open Science
  • Open Data

Background:

  • The "Scientific data sharing: an interdisciplinary workshop" aimed to foster dialogue between scholars from diverse scientific fields.
  • Organized by the Istituto Italiano di Antropologia in Anagni, Italy (September 2-4, 2013).

Purpose of the Study:

  • To summarize presentations and discussions on Open Science and Open Data principles and practices.
  • To explore the development of open data in various scientific domains.
  • To examine the societal implications and public communication of open science.

Main Methods:

  • Summaries of presentations and discussions from an interdisciplinary workshop.
  • Analysis of four key issue sets: common frameworks, scientific practices, case studies (human genomics), and public engagement.
  • Inclusion of a round table discussion on science communication and societal impact.

Main Results:

  • Identified challenges in establishing common frameworks for open data principles.
  • Observed varied development of open data practices across disciplines like biology, psychology, epidemiology, and archaeology.
  • Highlighted tensions between large-scale data sharing and individual data protection, exemplified by human genomics.
  • Discussed the importance of public communication and societal benefits of open science.

Conclusions:

  • Recommended integrating top-down (governmental, institutional) and bottom-up (scientific community) initiatives for open science.
  • Stressed the need to popularize societal benefits of open science, including citizen access to evidence and disease control.
  • Advocated for incorporating social sciences and humanities into open data education to enhance engagement and broaden scientific perspectives.