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Updated: May 26, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Data sharing: not as simple as it seems.

Neil Pearce1, Allan H Smith

  • 1Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK. neil.pearce@lshtm.ac.uk

Environmental Health : a Global Access Science Source
|December 23, 2011
PubMed
Summary
This summary is machine-generated.

Data sharing is encouraged, but researchers must consider ethical implications for participants. Preserving participant privacy and responsibilities remains crucial, regardless of data sharing policies.

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Last Updated: May 26, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Area of Science:

  • Bioethics
  • Research Methodology
  • Data Management

Background:

  • Data sharing is increasingly mandated by funders, especially in North America.
  • Current discussions often prioritize ownership and efficiency over ethical considerations.

Purpose of the Study:

  • To highlight the ethical complexities of data sharing in research.
  • To emphasize the responsibilities of original investigators towards study participants.

Main Methods:

  • Analysis of current trends and ethical considerations in research data sharing.
  • Examination of the implications of data sharing on study participants' privacy and rights.

Main Results:

  • Prescribing data sharing protocols is challenging due to study-specific factors.
  • Ethical concerns vary based on data type and collection methods (e.g., anonymized vs. identifiable data).
  • Informed consent may not fully address all ethical issues if participants are unaware of future data use.

Conclusions:

  • While data sharing offers benefits, it does not negate the ethical obligations of researchers to participants.
  • Researchers must carefully navigate data sharing to protect participant welfare and maintain trust.