Exploring pathways to trust: A tribal perspective on data sharing

Rosalina James, Rebecca Tsosie, Puneet Sahota, Myra Parker, Denise Dillard, Ileen Sylvester, John Lewis, Joseph Klejka, Leeanna Muzquiz, Polly Olsen, Ron Whitener, Wylie Burke

Research output: Contribution to journalReview articlepeer-review

71 Scopus citations

Abstract

The data-sharing policies of the National Institutes of Health aim to maximize public benefit derived from genetic studies by increasing research efficiency and use of a pooled data resource for future studies. Although broad access to data may lead to benefits for populations underrepresented in genetic studies, such as indigenous groups, tribes have ownership interest in their data. The Northwest-Alaska Pharmacogenetic Research Network, a partnership involving tribal organizations and universities conducting basic and translational pharmacogenetic research, convened a meeting to discuss the collection, management, and secondary use of research data, and of the processes surrounding access to data stored in federal repositories. This article reports the tribal perspectives that emerged from the dialogue and discusses the implications of tribal government sovereign status on research agreements and data-sharing negotiations. There is strong tribal support for efficient research processes that expedite the benefits from collaborative research, but there is also a need for data-sharing procedures that take into account tribal sovereignty and appropriate oversight of research - such as tribally based research review processes and review of draft manuscripts. We also note specific ways in which accountability could be encouraged by the National Institutes of Health as part of the research process.Genet Med 16 11, 820-826.

Original languageEnglish (US)
Pages (from-to)820-826
Number of pages7
JournalGenetics in Medicine
Volume16
Issue number11
DOIs
StatePublished - Nov 13 2014

Keywords

  • data sharing
  • ethics
  • genetics
  • indigenous
  • tribal

ASJC Scopus subject areas

  • Genetics(clinical)

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