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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Data Sharing: Convert Challenges into Opportunities.

Ana Sofia Figueiredo1,2

  • 1Department of Anesthesiology and Surgical Intensive Care Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.

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|December 23, 2017
PubMed
Summary
This summary is machine-generated.

Sharing research data accelerates scientific progress and enables new discoveries. This review outlines challenges and provides guidelines for efficient data sharing to benefit science and society.

Keywords:
FAIR guiding principlesbig datadata privacydata sharingdigital healthopen data

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Area of Science:

  • * Scientific research and data management.
  • * Genomic data analysis and personalized medicine.

Background:

  • * Research data sharing initiatives aim to accelerate scientific discovery and progress.
  • * Reusing data prevents duplication and allows for novel insights through multi-analysis.
  • * Genomic data sharing is crucial for advancing cancer research and personalized therapy selection.

Purpose of the Study:

  • * To review the impact of research data sharing on science and society.
  • * To present guidelines for improving the efficiency of research data sharing.

Main Methods:

  • * Literature review of existing research data sharing initiatives.
  • * Analysis of challenges associated with data sharing (ethical, cultural, legal, financial, technical).

Main Results:

  • * Data sharing offers significant benefits, including accelerated knowledge discovery and avoidance of data duplication.
  • * Challenges in data sharing are multifaceted, spanning ethical, legal, financial, cultural, and technical domains.
  • * Effective guidelines are necessary to overcome these barriers and promote efficient data sharing.

Conclusions:

  • * Research data sharing is vital for scientific advancement and societal benefit.
  • * Addressing the identified challenges through clear guidelines is essential for maximizing the potential of data sharing.
  • * Implementing best practices will foster a more collaborative and efficient research ecosystem.