Developing metrics, practices, and software for open source projects in community health; one goal is to identify all contributions made in this sphere and the organizations and individuals that make them; another to improve the transparency and actionability of open source tools.
This project has developed a values-based open source implementation and assessment program, crucial to developing a trustworthy data analysis ecosystem. While building standardized, easily accessible epidemiological software tools, Epiverse will be applying this values-based framework to metrics gauging the initiative’s success.
A global data analysis ecosystem creating standardized, accessible epidemiological software tools to solve real-world health problems. Three prongs include TRACE – the interoperable tools and software; BUILD – scaffolding for interdisciplinary engagement; and CONNECT – global community dedicated to innovation and health equity.
A stepwise approach – including policy guidelines, implementation, and engagement – for funders to adjust their incentivization schemes to align with open access, open data, open science, and open research. Includes templated language with highlighted passages for inserting customized funder information.
Developing metrics that reflect team members’ collaborative research activities – e.g., sharing/posting early research, reviewing, revising, commenting – as well as the rapid, open dissemination of their findings.