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Instrument for assessing mass media reporting of disease-related genetic discoveries

Author(s): Mountcastle-Shah, Eliza, Tambor, Ellen, Bernhardt, Barbara A., Geller, Gail, Karaliukas, Reda, Rodgers, Joann Ellison, Holtzman, Neil A.
Year: 2002

Instrument for assessing mass media reporting of disease-related genetic discoveries is a 38-item tool for evaluating the quality and balance of media stories reporting genetic discoveries related

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Instrument for assessing mass media reporting of disease-related genetic discoveries is a 38-item tool for evaluating the quality and balance of media stories reporting genetic discoveries related to human disease.

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Research Population: N/A
Citation:

Mountcastle-Shah, E., Tambor, E., Bernhardt, B. A., Geller, G., Karaliukas, R., Rodgers, J. E., & Holtzman, N. A. (2003). Assessing mass media reporting of disease-related genetic discoveries: Development of an instrument and initial findings. Science Communication, 24(4), 458-478.

Validation(s):
  • Mountcastle-Shah, E., Tambor, E., Bernhardt, B. A., Geller, G., Karaliukas, R., Rodgers, J. E., & Holtzman, N. A. (2003). Assessing mass media reporting of disease-related genetic discoveries: Development of an instrument and initial findings. Science Communication, 24(4), 458-478.
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Scenarios for Ethical and Legal Analysis of Genomic Data Sharing Practices

Author(s): McWhirter, Rebekah, Eckstein, Lisa, Chalmers, Don, Critchley, Christine, Nielsen, Jane, Otlowski, Margaret, Nicol, Dianne
Year: 2020

McWhirter and colleagues report the development and validation of 6 scenarios based on actual genomic data sharing pratices in Australia.

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McWhirter and colleagues report the development and validation of 6 scenarios based on actual genomic data sharing pratices in Australia. These scenarios could be used to inform the decision-making of data access and research ethics committees by enhancing understanding of the downstream uses of genetic sequence information. Scenarios 1 - 6 are available in Table 3 of the linked publication.

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Research Population: Adults
Citation:

McWhirter, R., Eckstein, L., Chalmers, D., Critchley, C., Nielsen, J., Otlowski, M., & Nicol, D. (2020). A scenario-based methodology for analyzing the ethical, legal, and social issues in genomic data sharing. Journal of Empirical Research on Human Research Ethics, 15(4), 355-364.

Validation(s):

  • McWhirter, R., Eckstein, L., Chalmers, D., Critchley, C., Nielsen, J., Otlowski, M., & Nicol, D. (2020). A scenario-based methodology for analyzing the ethical, legal, and social issues in genomic data sharing. Journal of Empirical Research on Human Research Ethics, 15(4), 355-364.

Contact: [email protected]

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