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Related Experiment Video

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Sharing Research Data and Intellectual Property Law: A Primer.

Michael W Carroll1

  • 1Program on Information Justice and Intellectual Property, American University, Washington College of Law, Washington, D.C., United States of America.

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|August 28, 2015
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Summary
This summary is machine-generated.

This perspective clarifies intellectual property (IP) rights for research data sharing. It guides researchers and institutions on navigating IP and contractual issues to facilitate productive data reuse.

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Area of Science:

  • Data Science
  • Intellectual Property Law
  • Research Ethics

Background:

  • Sharing research data is crucial for scientific advancement but often raises intellectual property (IP) concerns.
  • Researchers, institutions, and funders frequently question ownership and usage rights of shared data.
  • Existing legal frameworks may not always clearly address IP in the context of research data.

Purpose of the Study:

  • To elucidate the general intellectual property (IP) and contractual issues surrounding research data sharing.
  • To provide guidance for researchers, employers, and funders on managing IP rights in data.
  • To facilitate productive downstream uses of research data by clarifying sharing protocols.

Main Methods:

  • This perspective analyzes general IP principles applicable to research data.
  • It examines common contractual considerations in data sharing agreements.
  • The analysis excludes specific regulations like privacy and national security laws.

Main Results:

  • Clarifies that legal rights in data exist and identifies who typically holds these rights.
  • Provides a framework for understanding how to exercise these rights to enable data sharing.
  • Highlights the importance of addressing IP in data management plans.

Conclusions:

  • Understanding and proactively managing intellectual property (IP) rights is essential for effective research data sharing.
  • Clear guidelines on IP and contractual terms can encourage broader data reuse and collaboration.
  • This work offers a foundational understanding of IP issues for researchers and institutions involved in data sharing.