Literature DB >> 27552966

Who should have access to genomic data and how should they be held accountable? Perspectives of Data Access Committee members and experts.

Mahsa Shabani1, Adrian Thorogood2, Pascal Borry1.   

Abstract

Facilitating the responsible access to genomic research data is an emerging ethical and scientific imperative. Data Access Committees (DACs) assess the ethical footing and scientific feasibility of the data access requests and evaluate the qualification of applicants to ensure they are bona fide researchers. Through semi-structured interviews, we explored the opinions and experiences of 20 DAC members and experts concerning the users' qualification criteria and mechanisms to hold users accountable. According to our respondents, such evaluation is necessary to ensure applicants are trustworthy, meet a certain level of expertise or experience and are aware of the rules and the associated concerns with genomic data sharing. The respondents noted, however, that the qualification criteria are fragmented or are poorly delineated at times. Thus, developing qualification criteria seems vital for an objective, fair and responsible access procedure. Similarly, the access review will benefit from using common ways of verifying the users' affiliations. Furthermore, some DAC members expressed concern over the uncertain oversight of downstream data use, in particular where data are shared across borders. DAC members and experts did not consider current sanctions and enforcement procedures to be crystal clear. Therefore, data sharing policies should address this gap by establishing proportionate sanctions both against data producers and data users' non-compliance. Users' home institutes will need to have an active role in keeping oversight on the downstream data uses, considering their ultimate responsibility if wrongdoings happen.

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Year:  2016        PMID: 27552966      PMCID: PMC5117916          DOI: 10.1038/ejhg.2016.111

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  28 in total

1.  New models of collaboration in genome-wide association studies: the Genetic Association Information Network.

Authors:  Teri A Manolio; Laura Lyman Rodriguez; Lisa Brooks; Gonçalo Abecasis; Dennis Ballinger; Mark Daly; Peter Donnelly; Stephen V Faraone; Kelly Frazer; Stacey Gabriel; Pablo Gejman; Alan Guttmacher; Emily L Harris; Thomas Insel; John R Kelsoe; Eric Lander; Norma McCowin; Matthew D Mailman; Elizabeth Nabel; James Ostell; Elizabeth Pugh; Stephen Sherry; Patrick F Sullivan; John F Thompson; James Warram; David Wholley; Patrice M Milos; Francis S Collins
Journal:  Nat Genet       Date:  2007-09       Impact factor: 38.330

2.  Public perspectives regarding data-sharing practices in genomics research.

Authors:  S B Haga; J O'Daniel
Journal:  Public Health Genomics       Date:  2011-03-24       Impact factor: 2.000

Review 3.  NIH's genomic data sharing policy: timing and tradeoffs.

Authors:  Jorge L Contreras
Journal:  Trends Genet       Date:  2015-01-22       Impact factor: 11.639

4.  DATA ACCESS. Sharing by design: Data and decentralized commons.

Authors:  Jorge L Contreras; Jerome H Reichman
Journal:  Science       Date:  2015-12-11       Impact factor: 47.728

5.  Redefining genomic privacy: trust and empowerment.

Authors:  Yaniv Erlich; James B Williams; David Glazer; Kenneth Yocum; Nita Farahany; Maynard Olson; Arvind Narayanan; Lincoln D Stein; Jan A Witkowski; Robert C Kain
Journal:  PLoS Biol       Date:  2014-11-04       Impact factor: 8.029

6.  Controlled Access under Review: Improving the Governance of Genomic Data Access.

Authors:  Mahsa Shabani; Stephanie O M Dyke; Yann Joly; Pascal Borry
Journal:  PLoS Biol       Date:  2015-12-31       Impact factor: 8.029

7.  "You want the right amount of oversight": interviews with data access committee members and experts on genomic data access.

Authors:  Mahsa Shabani; Pascal Borry
Journal:  Genet Med       Date:  2016-01-21       Impact factor: 8.822

8.  Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays.

Authors:  Nils Homer; Szabolcs Szelinger; Margot Redman; David Duggan; Waibhav Tembe; Jill Muehling; John V Pearson; Dietrich A Stephan; Stanley F Nelson; David W Craig
Journal:  PLoS Genet       Date:  2008-08-29       Impact factor: 5.917

9.  From the principles of genomic data sharing to the practices of data access committees.

Authors:  Mahsa Shabani; Bartha Maria Knoppers; Pascal Borry
Journal:  EMBO Mol Med       Date:  2015-05       Impact factor: 12.137

10.  If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technology.

Authors:  Jillian C Wallis; Elizabeth Rolando; Christine L Borgman
Journal:  PLoS One       Date:  2013-07-23       Impact factor: 3.240

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  1 in total

1.  How to responsibly acknowledge research work in the era of big data and biobanks: ethical aspects of the Bioresource Research Impact Factor (BRIF).

Authors:  Heidi Carmen Howard; Deborah Mascalzoni; Laurence Mabile; Gry Houeland; Emmanuelle Rial-Sebbag; Anne Cambon-Thomsen
Journal:  J Community Genet       Date:  2017-09-25
  1 in total

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