People, Expertise & Attribution Workgroup

People, Expertise & Attribution Workgroup

The mission of the CD2H People, Expertise, and Attribution Workgroup (CD2H-PEA) is to support discovery of the rich expertise available within the CTSAs and beyond, and to provide innovative infrastructure for supporting attribution of the diverse contributions required for effective translational team science.

People, Expertise & Attribution Workgroup Overview

Supporting expertise and resource discovery and promoting translational team science.

Our Current Projects

A computable representation of contributions

Lead: Kristi Holmes

People

Representing individual contributions to translational science is important for providing credit, as well as understanding the expertise of our workforce.

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Competitions tool for CTSA community peer review

Lead: Firas Wehbe

People

Competitions is an open source tool to run NIH-style peer review of competitions, pilot projects, and research proposals in a cloud-based consortium-wide single sign-on platform.

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Personas for Clinical and Translational Science

Lead: Sara Gonzales

People

This project will profile the translational workforce: specific roles, expertise, training, needs regarding data access and use, software tools, and workflows; the resulting library of community driven collection of personas will help scope and drive forward translational software and program projects.

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menRva: an interdisciplinary open research repository

Lead: Matt Carson

People

Infrastructure to preserve and disseminate translational research more easily. The portal enhances visibility and access, promotes people and the attribution of their work, and supports open and FAIR-TLC science with good data practice workflows, powerful search and indexing, and privacy standards required for translational research.

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Science of translational science research platform

Lead: David Eichmann

People

Data aggregation platform for the CTSA Program, including educational resources, datasets, software tools, etc., providing the ability to discover not only resources and expertise, but also support new analytics on the science of translational science, such as scholar tracking and impact analysis.

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