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Webinar #12: An Introduction to the TRUST Principles – A use case of Trustworthy Data Repositories for Biomedical Sciences

Held on 07 October 2019                                     


Speaker

Dawei Lin, PhD DAIT-NIAID-NIHProfile

Material

Slides and the recording can be found here of a complementary webinar that gave an update on the status of the White Paper outlining the TRUST Principles.

Contact

Data-driven science is facilitated by datasets that comply with the FAIR (Findable, Accessible Interoperable and Reusable) Principles to maximize the value of the data. While the Social Sciences and Geosciences have long recognized that Trustworthy Data Repositories (TDRs) are critical components to enable data to be FAIR and preserved for the long-term on a sustainable basis, the concepts of trustworthiness and the means to assess TDRs are new to some Biomedical fields.
In a recent effort to make standards easier to understand and apply, five TRUST Principles (Transparency, Responsibility, User Community, Sustainability, and Technology) proposed initially by the CoreTrustSeal Board, were presented at the Research Data Alliance’s 13th Plenary Meeting in April 2019 (Philadelphia, USA). This additional set of Principles defines the criteria for a repository to be considered trustworthy: the repository must have transparent policies, organizational resources, and personnel with the expertise to provide sustainable operations and secure technologies for their communities.
The presentation will briefly introduce the TRUST Principles, and will summarize the outcomes and lesson learned from using them to frame discussions at a recent NIH (National Institutes of Health) workshop on Trustworthy Data Repositories for Biomedical Sciences. The final report from the workshop and the presentations are available at https://datascience.nih.gov/data-ecosystem/trustworthy-data-repositories-workshop.