Published November 26, 2019 | Version v1
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Radical collaborations: Joining forces to address user needs around research data management

  • 1. Massachusetts Institute of Technology, United States of America;
  • 2. Massachusetts Institute of Technology, United States of America; Yale University, United States of America;
  • 3. Massachusetts Institute of Technology, United States of America; Yale University, United States of America; Dryad, United States of America;
  • 4. Massachusetts Institute of Technology, United States of America; Yale University, United States of America; Dryad, United States of America; Massachusetts Institute of Technology, United States of America;
  • 5. Massachusetts Institute of Technology, United States of America; Yale University, United States of America; Dryad, United States of America; Massachusetts Institute of Technology, United States of America; Penn State University, United States of America;
  • 6. Massachusetts Institute of Technology, United States of America; Yale University, United States of America; Dryad, United States of America; Massachusetts Institute of Technology, United States of America; Penn State University, United States of America; University of Minnesota, United States of America

Description

In today's divided climate, we need more examples of collaboration in support of a common cause. Thought leaders in the scholarly community such as Alice Meadows, Kristin Ratan and Nancy McGovern have issued recent calls for organizations and stakeholders to come together, reduce overlap, combine/integrate systems, leverage strengths, and find new ways to progress towards our shared objective -- supporting research, researchers, and the cultivation of knowledge. According to McGovern, radical collaboration in digital practice calls for direct participation and personal engagement among a diverse group of experts who actually do the work, rather than simply staying informed or consulted about the work being done. This panel will provide models and case studies of collaboration and community-building across different types of organizations and technologies to improve the quality and usefulness of research data, as well as the user experience of research data publishing.

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